Senior Snowflake Data Engineer

🏢 Summary: Senior Snowflake Data Engineer role focused on designing and optimizing cloud-based data platforms and enterprise data pipelines for Financial Services clients. The position involves building scalable ELT/ETL solutions, implementing data governance and performance optimization practices, and collaborating with stakeholders to support reporting, analytics, and regulatory initiatives. Candidates are expected to bring strong Snowflake, SQL, Python, and cloud platform expertise along with consulting experience. 🗂️ Requirements: 7+ years of Data Engineering experience, 4+ years of hands-on Snowflake development, Strong SQL expertise, Strong Python development experience, Experience building enterprise ELT/ETL pipelines, Experience with Azure, AWS, or GCP, Experience with dbt, Experience with Airflow, Experience with Git and CI/CD, Knowledge of dimensional data modeling, Experience with REST APIs and data integration, Strong troubleshooting and performance tuning skills, Financial Services industry experience, Consulting environment experience, Ability to gather business requirements and lead solution workshops, Strong verbal and written communication skills 📃 Skills: Snowflake, SQL, Python, Azure, AWS, GCP, dbt, Airflow, Git, CI/CD, Terraform, Snowpark, REST, ELT, ETL, Kimball 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change and empower people to express their ideas, create better practices, innovate better products, and become better professionals. We have been named a Great Place to Work for six years and offer a competitive salary and benefits package. Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop, and optimize cloud-based data platforms using Snowflake while partnering with business stakeholders, architects, and analytics teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate has deep experience building enterprise data pipelines, implementing cloud data warehouses, and supporting regulatory and financial reporting initiatives within banking, insurance, capital markets, or asset management organizations. Key Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake. - Build and optimize ELT/ETL processes to ingest data from multiple enterprise systems. - Develop dimensional data models, data marts, and curated analytical datasets. - Optimize Snowflake performance through clustering, partitioning, workload management, and cost optimization. - Implement data quality, lineage, governance, and security best practices. - Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate. - Partner with business stakeholders to understand reporting and analytical requirements. - Build reusable data frameworks supporting Finance, Risk, Compliance, Treasury, and Regulatory Reporting. - Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies. - Participate in Agile ceremonies including sprint planning, backlog grooming, and code reviews. - Mentor junior engineers and promote engineering best practices. Required Qualifications - 7+ years of Data Engineering experience. - 4+ years of hands-on Snowflake development. - Strong SQL expertise including query optimization. - Strong Python development experience. - Experience building enterprise ELT/ETL pipelines. - Experience with cloud platforms: Azure, AWS, GCP (preferred). - Experience with dbt, Airflow, Git, CI/CD, Terraform (preferred). - Experience working with structured and semi-structured data. - Knowledge of data modeling (Star Schema, Snowflake Schema, Kimball). - Experience with REST APIs and data integration. - Strong troubleshooting and performance tuning skills. Financial Services Experience Required Candidates should possess experience supporting one or more of the following: - Banking - Commercial Banking - Investment Banking - Capital Markets - Asset Management - Wealth Management - Insurance - FinTech Consulting Experience - Experience working in consulting environments such as PwC, Deloitte, EY, KPMG, Accenture, Slalom, or similar. - Ability to gather requirements directly from business stakeholders. - Experience leading client workshops and solution design sessions. - Excellent verbal and written communication skills. - Strong presentation and stakeholder management abilities. Benefits - Medical, dental, and vision plans. - Generous PTO and paid holidays. - 401(k) plan with company match and auto-enrollment. - Short-term and long-term disability, life insurance, and AD&D insurance. - Voluntary benefits including pet insurance and student loan assistance. - FSAs, HSAs, wellness programs, and additional work-life balance benefits. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Senior Snowflake Data Engineer role focused on designing and optimizing cloud-based data platforms and enterprise data pipelines for Financial Services clients. The position involves building scalable ELT/ETL solutions, data models, and automated orchestration workflows while collaborating with stakeholders and mentoring engineers. Candidates must have strong Snowflake, SQL, Python, and cloud platform expertise along with Financial Services and consulting experience. 🗂️ Requirements: 7+ years of Data Engineering experience, 4+ years of hands-on Snowflake development, Strong SQL expertise, Strong Python development experience, Experience building enterprise ELT/ETL pipelines, Experience with Azure, AWS, or GCP, Experience with dbt, Airflow, Git, and CI/CD, Experience working with structured and semi-structured data, Knowledge of Star Schema, Snowflake Schema, and Kimball data modeling, Experience with REST APIs and data integration, Strong troubleshooting and performance tuning skills, Financial Services industry experience, Consulting environment experience, Ability to gather requirements from business stakeholders, Experience leading workshops and solution design sessions, Strong verbal and written communication skills 📃 Skills: Snowflake, SQL, Python, Azure, AWS, GCP, dbt, Airflow, Git, CI/CD, Terraform, Snowpark, REST, ETL, ELT, Kimball 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop, and optimize cloud-based data platforms using Snowflake while partnering with business stakeholders, architects, and analytics teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate has deep experience building enterprise data pipelines, implementing cloud data warehouses, and supporting regulatory and financial reporting initiatives within banking, insurance, capital markets, or asset management organizations. Key Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake. - Build and optimize ELT/ETL processes to ingest data from multiple enterprise systems. - Develop dimensional data models, data marts, and curated analytical datasets. - Optimize Snowflake performance through clustering, partitioning, workload management, and cost optimization. - Implement data quality, lineage, governance, and security best practices. - Develop solutions utilizing Snowpark, stored procedures, streams, tasks, and dynamic tables where appropriate. - Partner with business stakeholders to understand reporting and analytical requirements. - Build reusable data frameworks supporting Finance, Risk, Compliance, Treasury, and Regulatory Reporting. - Develop automated orchestration using Airflow, Azure Data Factory, AWS Glue, or similar technologies. - Participate in Agile ceremonies including sprint planning, backlog grooming, and code reviews. - Mentor junior engineers and promote engineering best practices. Required Qualifications - 7+ years of Data Engineering experience. - 4+ years of hands-on Snowflake development. - Strong SQL expertise including query optimization. - Strong Python development experience. - Experience building enterprise ELT/ETL pipelines. - Experience with cloud platforms: Azure, AWS, GCP (preferred). - Experience with dbt, Airflow, Git, CI/CD, Terraform (preferred). - Experience working with structured and semi-structured data. - Knowledge of data modeling (Star Schema, Snowflake Schema, Kimball). - Experience with REST APIs and data integration. - Strong troubleshooting and performance tuning skills. Financial Services Experience Required Candidates should possess experience supporting one or more of the following: - Banking - Commercial Banking - Investment Banking - Capital Markets - Asset Management - Wealth Management - Insurance - FinTech Consulting Experience - Experience working in consulting environments such as PwC, Deloitte, EY, KPMG, Accenture, Slalom, or similar. - Ability to gather requirements directly from business stakeholders. - Experience leading client workshops and solution design sessions. - Excellent verbal and written communication skills. - Strong presentation and stakeholder management abilities. Benefits - Health & Wellness: Medical (BC-BS), dental, and vision plans. - Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service. - Retirement Savings: 401(k) plan with company match and auto-enrollment. - Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance. - Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually. - Perks: FSAs, HSAs, wellness programs, and more to enhance work-life balance. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Part-time IT Support Specialist providing Tier 1 service desk support one day per week in a high-volume enterprise environment. The role serves as the first point of contact for end users, handling support calls and tickets, troubleshooting basic hardware, software, network, and access issues, and escalating complex incidents. Ideal for candidates with help desk experience and strong technical troubleshooting and documentation skills. 🗂️ Requirements: High school diploma or equivalent, Minimum 1 year of customer service, call center, help desk, or IT support experience, Ability to meet public trust or suitability requirements, Basic knowledge of end-user hardware, software, networking, and access support, Ability to use ticketing or ITSM tools, Strong documentation and communication skills 📃 Skills: Windows, MacOS, VPN, WiFi, LAN, ServiceNow, ITSM, Networking, Hardware, Troubleshooting 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions.Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. We hire people who are passionate about being catalysts for change - in our company, for our clients, throughout our career- and we empower people to express their ideas, create better practices, innovate better products, and become better professionals.We have been named a Great Place to Work for six years, and offer a competitive salary and benefits package. IT Support Specialist - REMOTE - Part-Time - MONDAY ONLY! We are seeking a part-time IT Support Specialist to provide Tier 1 service desk support for MONDAYS in a high-volume enterprise IT environment. This role serves as the first point of contact for end users and is responsible for responding to incoming support calls and self-service tickets, troubleshooting basic hardware, software, network, access, and endpoint issues, documenting incidents, and escalating unresolved issues to the appropriate technical teams. The ideal candidate has strong customer service skills, basic technical troubleshooting experience, and the ability to work accurately within ticketing or IT service management tools. This position requires clear communication, attention to detail, and a professional approach to supporting end users in a fast-paced service desk setting. Responsibilities Respond to inbound service desk calls and self-service support tickets. Troubleshoot basic hardware, software, network connectivity, access, and endpoint issues. Document issue details, troubleshooting steps, and resolution status in a ticketing system. Use prior records and problem-solving skills to help identify root causes. Escalate unresolved incidents to appropriate Tier 2, Tier 3, or resolver teams. Provide timely, accurate, and professional support to end users. Support full-time service desk coverage requirements. Minimum Qualifications High school diploma or equivalent. At least 1 year of related customer service, call center, help desk, or IT support experience. Ability to meet applicable public trust or suitability requirements. Basic knowledge of end-user hardware, software, networking, and access support. Strong communication, customer service, and documentation skills. Preferred Qualifications Experience in a help desk, call center, or enterprise service desk environment. Familiarity with Windows and Mac operating systems. Basic understanding of networking concepts, including VPN, Wi-Fi, LAN connectivity, and remote access. Experience using ticketing or ITSM tools such as ServiceNow or similar platforms. Demonstrated ability to resolve issues efficiently and escalate appropriately. If you are looking for a role where you will lead with integrity, create and innovate, inspire excellence, be a respected member of the team, drive results, and have fun, we look forward to connecting with you! Benefits at Itero GroupAt Itero Group, we're proud to offer a comprehensive benefits package designed to support your health, financial well-being, and work-life balance: Health & Wellness: Medical (BC-BS), dental, and vision plans to suit your needs. Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service. Retirement Savings: 401(k) plan with company match and auto-enrollment. Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance. Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually. Perks: FSAs, HSAs, wellness programs, and more to enhance your work-life balance. Join us and enjoy a benefits package designed with you in mind! Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Senior Cloud Engineer role focused on designing, implementing, and supporting secure Microsoft cloud and hybrid infrastructure solutions across Azure, Microsoft 365, and GCC High environments. The position combines hands-on engineering with technical leadership to deliver scalable, compliant cloud architectures in complex enterprise settings. Responsibilities include Azure infrastructure, identity and access management, Intune, Azure Virtual Desktop, and cloud security operations. 🗂️ Requirements: 8+ years of experience in cloud engineering, systems engineering, or enterprise infrastructure, Strong hands-on experience with Microsoft 365 administration and security, Proven experience in GCC High or other regulated cloud environments, Deep expertise with Microsoft Intune for device and application management, Strong proficiency with Azure infrastructure services, Experience deploying and supporting Azure Virtual Desktop, Solid background in Windows Server and enterprise infrastructure, Strong understanding of identity management using Microsoft Entra ID, Ability to design secure, scalable, and compliant cloud architectures 📃 Skills: Azure, Microsoft365, GCCHigh, Intune, AzureVirtualDesktop, WindowsServer, ActiveDirectory, DNS, DHCP, GroupPolicy, EntraID, ConditionalAccess, MFA, SSO, ExchangeOnline, Teams, SharePoint, FSLogix, PowerShell, AzureCLI, Bicep, Terraform, Linux, Ubuntu, RHEL 🏢 Description: About us Itero Group is a Women-Owned Small Business focused on simplifying complex transformations. We empower clients in the private and government sectors to become more optimized, digitally enabled, and data-driven organizations through our comprehensive business consulting and innovative delivery solutions. Itero Group's dedicated team members are experienced thought leaders, tenacious workers, and creative thinkers. Senior Cloud Engineer We are seeking a Senior Cloud Engineer who brings deep Microsoft cloud expertise and thrives in secure, complex environments. The Senior Cloud Engineer will design, implement, and support cloud and hybrid infrastructure solutions across Microsoft 365, Azure, and GCC High environments. This role requires strong technical leadership, hands-on engineering capability, and the ability to collaborate with cross-functional teams to deliver secure, scalable, and compliant cloud solutions. Key Responsibilities - Architect, deploy, and manage Azure infrastructure including compute, networking, storage, identity, and security services. - Administer and optimize Microsoft 365 workloads, including Exchange Online, Teams, SharePoint, and security/compliance features. - Support and maintain GCC High (Government Community Cloud) environments, ensuring adherence to federal compliance and security requirements. - Lead configuration, policy development, and lifecycle management in Microsoft Intune (Endpoint Manager) for Windows, iOS, and Android devices. - Design, deploy, and support Azure Virtual Desktop (AVD) environments, including image management, FSLogix, scaling, and performance tuning. - Manage and maintain server infrastructure (Windows Server, AD DS, DNS, DHCP, Group Policy) in hybrid environments. - Administer and enhance identity and access management using Microsoft Entra ID, including Conditional Access, MFA, SSO, and identity governance. - Implement cloud security best practices, monitoring, and compliance controls across Azure and M365. - Troubleshoot complex cloud, identity, and infrastructure issues across hybrid environments. - Develop documentation, runbooks, and operational standards for cloud services. Required Qualifications - 8+ years of experience in cloud engineering, systems engineering, or enterprise infrastructure roles. - Strong hands-on experience with Microsoft 365 administration and security. - Proven experience working within GCC High or other regulated cloud environments. - Deep expertise with Microsoft Intune for device and application management. - Strong proficiency with Azure infrastructure (VMs, VNets, NSGs, Storage, Key Vault, Monitoring, Automation). - Experience deploying and supporting Azure Virtual Desktop. - Solid background in Windows Server and enterprise infrastructure. - Strong understanding of identity management using Microsoft Entra ID. - Ability to design secure, scalable, and compliant cloud architectures. Nice to Have - Experience with Linux (Ubuntu, RHEL, or similar). - Certifications such as: AZ-104: Microsoft Azure Administrator, SC-300: Identity and Access Administrator. - Experience with automation tools (PowerShell, Azure CLI, Bicep, Terraform). - Familiarity with Zero Trust principles and cloud security frameworks. Soft Skills - Strong communication and documentation skills. - Ability to lead technical initiatives and mentor junior engineers. - Consulting mindset with the ability to work independently in a remote environment. Benefits Health & Wellness: Medical (BC-BS), dental, and vision plans. Paid Time Off: Generous PTO, paid holidays, and increasing PTO based on years of service. Retirement Savings: 401(k) plan with company match and auto-enrollment. Company-Paid Coverage: Short-term and long-term disability, life insurance, and AD&D insurance. Additional Options: Voluntary benefits including pet insurance and student loan assistance up to $1,000 annually. Perks: FSAs, HSAs, wellness programs, and more to enhance work-life balance. Itero Group is an equal opportunity employer and does not discriminate against any employee or applicant because of race, age, sex, color, physical or mental disability, religion, sexual orientation, marital status, national origin, veteran status or political affiliation.

🏢 Summary: Role for a Data Architect responsible for designing and optimizing logical data models and ETL/ELT processes in a Snowflake environment to support decision-making. The position focuses on building efficient, scalable data architectures and bridging business requirements with technical solutions. The offer emphasizes ownership of data modeling, performance optimization, and modern data warehouse development. 🗂️ Requirements: Proven experience in data modeling design and implementation, Experience in designing and optimizing ETL/ELT processes, Experience with Snowflake and large datasets, Knowledge of data warehouse architectures, Experience with relational database design, Ability to translate business requirements into technical data solutions, Experience with data modeling tools, English level B2 or higher, Polish language proficiency 📃 Skills: Snowflake, SQL, Python, Jinja, Snowpark, DBT, Dagster, Airbyte, GitLab, ETL, ELT, DataModeling, DataWarehousing, Databases 🏢 Description: Czy to Ciebie szukamy? Szukamy eksperta, który dołączy do Data Architects Team i weźmie odpowiedzialność za projektowanie logicznego modelu danych wspierającego procesy decyzyjne naszej organizacji. Twoim nadrzędnym celem będzie optymalizacja procesów ETL/ELT, co bezpośrednio przełoży się na maksymalną wydajność i spójność naszego ekosystemu analitycznego. Wykorzystując środowisko Snowflake i język SQL, staniesz się pomostem między światem biznesu a technologią, kształtując nowoczesną architekturę danych. Dołącz do nas, jeśli cenisz niezależność i chcesz mieć realny wpływ na innowacyjne rozwiązania w zarządzaniu danymi. Twoja rola w naszym zespole: analiza wymagań biznesowych i ich transformacja na techniczne rozwiązania rozwijające nasz model danych, zarządzanie logicznymi modelami odzwierciedlającymi strukturę informacji i realnie wspierającymi działania biznesowe, projektowanie oraz ciągła optymalizacja procesów ETL / ELT gwarantująca ich najwyższą wydajność i niezawodność, modelowanie zdarzeń biznesowych i tworzenie struktur w bazach relacyjnych pod kątem przepływu danych, identyfikowanie i wdrażanie nowych rozwiązań technologicznych usprawniających obszar zarządzania informacją, tworzenie i aktualizacja przejrzystej dokumentacji architektonicznej celem zapewnienia zgodności i łatwości utrzymania systemów. Co musisz umieć: Doświadczenie: doświadczenie w projektowaniu i wdrażaniu modeli danych, doświadczenie w projektowaniu przetwarzań danych ETL / ELT oraz struktur bazodanowych, doświadczenie w przygotowywaniu projektów architektonicznych z zakresu modelowania danych, doświadczenie w pracy ze środowiskiem Snowflake i dużymi zbiorami danych, znajomość architektur hurtowni danych oraz narzędzi do modelowania danych. Języki: polski, angielski na poziomie co najmniej B2. Znajomość narzędzi: środowisko Snowflake (mile widziany badge Snowflake Badge 1-6 i Snowflake Certificate Pro), SQL, Python, Jinja, Snowpark, narzędzia: DBT, Dagster, Airbyte, repozytorium GitLab lub podobne. Umiejętności miękkie: umiejętność przejrzystej i efektywnej komunikacji z inżynierami i interesariuszami biznesowymi, zdolność tłumaczenia złożonych zagadnień na prosty i zrozumiały język techniczny oraz biznesowy, samodzielność, kreatywność oraz nastawienie na współpracę i wspólne rozwiązywanie problemów, elastyczność i interdyscyplinarność. Co dostajesz w pakiecie: prywatna opieka LuxMed, bezpłatne badania profilaktyczne oraz masaże odciążające kręgosłup, budżet na doposażenie stanowiska pracy zdalnej oraz vouchery podarunkowe, śniadania w formie bufetu przygotowywane na miejscu, wyjazdy integracyjne i rodzinne do prywatnego ośrodka nad jeziorem, dofinansowanie karty Multisport. Kim jesteśmy i dlaczego warto nas poznać: Trans.eu W sercu cyfrowej rewolucji w transporcie. Od 2004 roku tworzymy jedną z największych platform logistycznych w Europie , łącząc przewoźników, spedytorów i załadowców w jednym miejscu. Automatyzujemy procesy, podnosimy bezpieczeństwo transakcji i sprawiamy, że transport jest bardziej efektywny . Jesteśmy międzynarodową firmą technologiczną działającą w 63 krajach, i dopiero się rozkręcamy. Tworzymy nowoczesne cyfrowe rozwiązania dla transportu, spedycji i logistyki, napędzane wiedzą najlepszych programistów, specjalistów customer experience, inżynierów machine learning i ekspertów AI . Jeśli chcesz kształtować przyszłość technologii w transporcie - to miejsce dla Ciebie! W Trans.eu wierzymy w Smart & Fair Logistics - bardziej wydajną i transparentną branżę. Dlatego powiększyliśmy naszą grupę kapitałową, budując sieć wyspecjalizowanych firm, które pomagają nam realizować tę misję.

🏢 Summary: Remote founding Sales Solutions Engineer role focused on guiding enterprise clients through data lineage, migration impact analysis, and modernization platform evaluations. The position combines pre-sales consulting, data architecture, proof-of-concept leadership, and customer-facing technical solution design for regulated industries. Compensation includes base salary, variable incentives, and opportunities to influence product and go-to-market strategy. 🗂️ Requirements: 3+ years in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or similar client-facing technical role, 5+ years working with modern and legacy data ecosystems, Experience with ETL/ELT platforms, Experience with modern data platforms and cloud technologies, Knowledge of data governance, metadata management, and data lineage, Ability to lead technical workshops, demonstrations, and proof-of-concept engagements, Strong communication skills with technical and executive stakeholders, Authorization to work in the U.S. without sponsorship, Residence in eligible U.S. states 📃 Skills: ETL, ELT, Informatica, Talend, DataStage, Snowflake, Databricks, Teradata, Fabric, Azure, AWS, Collibra, Alation, DataVault, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do - Lead technical discovery sessions with data, analytics, architecture, and platform leaders. - Assess customer environments and identify data migration risks, dependencies, and lineage challenges. - Demonstrate platform capabilities and articulate business value to both technical and executive audiences. - Own proof-of-concept (POC) engagements from planning through successful completion. - Design solution approaches that address customer modernization, governance, and migration objectives. - Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. - Collaborate closely with delivery teams to ensure a seamless transition from sales to implementation. - Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring - 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. - 5+ years of experience working with modern and legacy data ecosystems. - Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. - Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. - Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. - Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. - Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience - Data Architecture - Data Engineering - Data Governance - Data Migration & Modernization - Data Lineage & Metadata Management - Enterprise Analytics Platforms - Cloud Data Platforms - Regulated Industry Environments How You Work - Thrive in environments where processes are still being built and improved. - Enjoy helping shape products, solutions, and go-to-market motions. - Comfortable operating with ambiguity and helping define the path forward. - Approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have - Experience supporting financial services, insurance, healthcare, or public sector organizations. - Background in large-scale data migration or modernization programs. - Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. - Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. - Experience with Azure or AWS deployments within customer-controlled environments. Compensation - Base Salary: $150,000–$180,000 - Target Variable Compensation: $40,000 tied to key business growth milestones - Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location - Remote role with 25% travel. - Ideal candidate located in or near Austin, TX, though all eligible U.S. candidates will be considered. - Applicants must be authorized to work for any employer in the U.S. without sponsorship. - Candidates must reside in eligible U.S. states. Benefits Employees may be eligible for discretionary bonuses, commissions, incentive programs, and a comprehensive benefits package including medical, dental, vision, 401(k), and paid time off. Equal Opportunity FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

🏢 Summary: Technical pre-sales role focused on leading discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform sold to regulated enterprises. You will assess complex legacy and modern data estates, map migration blast radius, address technical objections, and scope engagements through handoff to delivery. This is a 0-1 environment requiring strong data stack expertise and AI-first productivity. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience selling data or platform software to enterprise or regulated customers, 5+ years experience across modern and legacy data stack (ETL/ELT, warehouses, lakehouses, BI, lineage, governance), Ability to independently run end-to-end POCs on real customer environments, Experience leading technical discovery with data and platform stakeholders, Proficiency using AI tools to enhance discovery, analysis, demos, and POCs, Hands-on knowledge of platforms such as Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, Authorization to work for any employer in the U.S. 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are adding a Data Sales Solutions Engineer to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative role, that of a founding sales engineer, which is a client-facing role that combines data architecture, solution engineering, and pre-sales experience.A founding sales engineer. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Compensation This role offers a competitive compensation package designed to reward both expertise and early-stage impact. Base Salary: $150,000–$180,000 Target Variable Compensation: $40,000 tied to key business growth milestones Target On-Target Earnings (OTE): $190,000–$220,000 As an early member of a growing platform business, you'll have the opportunity to directly influence customer adoption, product-market fit, and go-to-market strategy. The performance component is designed to recognize meaningful contributions to customer acquisition and platform growth. As the business scales and establishes a repeatable sales motion, the compensation structure may evolve into a traditional quota-based model with performance accelerators and expanded earning potential. Why This Opportunity Is Different This is not simply a role within an established sales organization. It is an opportunity to help build a business. Successful candidates will play a meaningful role in shaping customer references, validating market demand, refining the sales process, and influencing product direction. For individuals who enjoy operating in a high-impact, entrepreneurial environment, there is significant opportunity to grow alongside the platform. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. All US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: The role focuses on designing and building scalable data integration and connector applications that replicate and process data from diverse external systems into a cloud-based data platform. It involves developing APIs, frameworks, and infrastructure to standardize connector development, optimize ingestion performance, and ensure secure data transfer in distributed cloud environments. The position also includes technical leadership, collaboration with stakeholders, and mentoring engineers. 🗂️ Requirements: 5+ years experience designing and supporting large-scale systems, Experience building high-performance scalable software in distributed cloud environments, Strong proficiency in Java, Experience with SQL, Strong understanding of relational databases, Experience designing APIs and infrastructure systems, Strong debugging and troubleshooting skills in cloud environments 📃 Skills: Java, SQL, APIs, CDC, SaaS, Cloud, Databases, DistributedSystems, DataIntegration, DataProcessing, Scheduling, Ingestion 🏢 Description: At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our teams develops in-house connectors to connect with external systems and data warehouses. We are working to connect Snowflake with Fortune 500 companies - in the cloud. In this area you will be working on exposing API, blueprints and frameworks for other developers to create their own connectors. YOUR RESPONSIBILITIES Design and develop data integration and processing applications. These applications replicate data from various data sources (including relational databases, saas, data streams) into Snowflake, following CDC patterns. Develop and extend a robust connector platform to standardise and accelerate the development of connectors, either developed by Snowflake or by third parties. Typical example includes developing a scheduling service ensuring timely execution of tasks and optimal resource allocation. Optimize performance of the ingestion, meet with customers & troubleshoot issues and secure data transfer from external systems. Collaborate with teams across the organization and roles. Create design documents and present them to architects and other stakeholders, including company founders. Lead and mentor a group of engineers Coordinate synchronous and asynchronous communication to ensure goals are met. Collaborate with PMs and customers to understand business requirements, and translate them into connector application solutions. QUALIFICATIONS 5+ years industry experience designing, building and supporting large scale systems. Experience with high performance and scalable software in an internet scale distributed cloud environment. Fluency in Java. Experience with SQL. Good understanding of relational databases. Interest in creating well thought out infrastructure and APIs. Excellent debugging and troubleshooting skills, especially in a cloud environment. Great communication skills, both verbal and written, and an interest in working with a diverse set of peers and external developers. WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE? Building cutting edge cloud technologies is complex, and our engineering team surmounts the obstacles. As a member of our team, you will: Build an industry-leading data platform that customers love. Learn about and contribute to: Super-robust and secure enterprise SaaS platform that services hundreds of customers and millions of complex queries daily. Highly-scalable and reliable data processing platform that runs on hundreds and thousands of machines. User interfaces bridging the enterprise world with the consumer experience. Join a world-class team of both industry veterans and rising stars. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com This role includes (beside base salary): Bonus: This role is also eligible for 15% annual bonus and benefits package Equity: 30-50% of your annual salary

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Lead Data Engineer role focused on driving architecture and leading a team to build scalable, secure ETL/ELT pipelines and analytics-ready data models on modern cloud platforms. The position combines hands-on engineering with technical leadership, ensuring high standards in governance, observability, and performance optimisation. You will shape data infrastructure that supports large-scale analytics across the organisation. 🗂️ Requirements: Proven experience leading data engineering or analytics engineering teams, Strong programming skills in SQL, Strong programming skills in Python, Hands-on experience with Airflow or Prefect in production, Deep practical experience with dbt, Experience with Snowflake or Databricks at scale, Strong knowledge of dimensional modelling and SCD strategies, Experience implementing data quality and governance frameworks, Experience with CI/CD and automated testing in data systems 📃 Skills: SQL, Python, Airflow, Prefect, dbt, Snowflake, Databricks, ETL, ELT, CI/CD, SCD, Dimensional, Git, IaC 🏢 Description: ABOUT THE COMPANY Our client is a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the infrastructure you lead will have real consequence across the organisation. ABOUT THE ROLE We're looking for a Lead Data Engineer to combine deep technical expertise with hands-on team leadership, guiding a team of data engineers building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting across the organisation. This is a technical leadership role — you'll drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. You'll collaborate closely with stakeholders to align technical work with business objectives, champion governance and observability standards, and foster a culture of continuous improvement. The expectation is that you're equally effective in an architecture review as you are pairing with an engineer on a tricky pipeline problem. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth. Set the standard for engineering quality and hold the bar consistently. Architecture and pipeline design Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt). Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems. Analytics data modelling Oversee design and implementation of analytics-ready data models — dimensional schemas, SCD strategies, and semantic layers — that internal teams can build on reliably. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. Platform optimisation Manage performance tuning and cost optimisation for Snowflake, Databricks, and related cloud data platforms at scale. Governance and observability Champion governance, observability, and compliance frameworks across all data workflows — including data quality, lineage tracking, and multi-tenant environment controls. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery aligned with business objectives. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or analytics-focused development teams — mentoring engineers, driving architectural decisions, and owning delivery outcomes. SQL and Python Strong programming skills in both SQL and Python, applied to production data systems at scale. ETL/ELT orchestration Hands-on experience with orchestration tools — Airflow and/or Prefect — in production pipeline environments. dbt expertise Deep practical experience with dbt for transformation workflows and analytics modelling, including testing, documentation, and modular project design. Snowflake and Databricks Familiarity with Snowflake and/or Databricks for large-scale data processing, including performance tuning and cost management. Data modelling principles Solid understanding of data modelling principles, incremental strategies, and schema design for analytics — dimensional modelling, SCDs, and semantic layer design. Governance and data quality Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments. Software engineering practices Familiarity with CI/CD, automated testing, and infrastructure-as-code practices applied to data systems. Communication and stakeholder management Strong communication skills with the ability to operate confidently across technical teams and business stakeholders. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements, hybrid model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.