Data Sales Engineer

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 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 seeking a Data Solutions Engineer / Architect 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, 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 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. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. 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: 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: Design Lead role owning end-to-end product design for an early-stage, data-dense enterprise platform focused on data lineage and migration impact analysis in regulated environments. The position combines product thinking and hands-on design to translate complex technical workflows into clear, trustworthy experiences for both technical users and senior stakeholders. You will shape product direction, build a scalable design system, and leverage AI across the design lifecycle. 🗂️ Requirements: Senior or lead-level product design experience in enterprise or B2B SaaS environments, Proven experience designing complex, data-dense interfaces (dashboards, graphs, visualizations, enterprise tools), Strong product thinking with influence on product direction and prioritization, End-to-end ownership of a design system including components, standards, and adoption, Experience collaborating closely with product and engineering teams from concept to launch, Experience building or establishing a design function or standards from scratch, Demonstrated use of AI in practical design workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: UX, UI, ProductDesign, DataVisualization, InformationDesign, DesignSystems, Prototyping, UserResearch, SaaS, B2B, AI, Dashboards, GraphVisualization 🏢 Description: Own product design for an early-stage, data-dense platform built for regulated enterprises. We are hiring a Design Lead to own product design for a perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. This is a real, working product becoming a standalone business. This is a build. This is not a pure UI/UX role. You will think like a product manager, start from the customer problem, help shape what we build and why, and make complex technical information clear and trustworthy. Quick Facts - Early-stage, standalone product build - Focus on regulated enterprises - Data lineage and migration impact-analysis platform What You'll Work On - Own the end-to-end product design vision for a data-dense enterprise platform. - Translate complex lineage, migration impact, governance, and blast-radius workflows into clear, navigable product experiences. - Partner closely with Product and Engineering to define what gets built, for whom, and why. - Design for two audiences at once: technical users who need depth and senior stakeholders who need confidence in decisions. - Build and maintain the design system, set the quality bar, and create repeatable standards for future product surfaces. - Run user discovery and research; turn what you learn into product direction, design decisions, and prioritization input. - Use AI across the design workflow, including research synthesis, ideation, prototyping, iteration, and productivity. What You'll Bring - Senior or lead-level product design experience in enterprise, B2B SaaS, or similarly complex product environments. - Strong product thinking; experience influencing what gets built and why. - A portfolio with complex, data-dense interfaces made simple: dashboards, graphs, visualizations, technical workflows, or enterprise tools. - Strong information-design and data-visualization instincts. - End-to-end ownership of a design system, from components and standards through adoption and maintenance. - Fluency working directly with product and engineering teams, taking ideas from zero to shipped. - Experience building a design function, practice, or product design standard from scratch. - AI fluency, with concrete examples of AI use in real design work and measurable results. How You Work - Customer-problem first mindset. - Player-coach approach: hands-on while setting quality standards. - Ability to operate in ambiguity and define direction with incomplete information. - Ability to raise the design bar while maintaining delivery speed. Bonus Points - Experience designing for technical users such as developers, data engineers, analysts, or platform teams. - Familiarity with lineage, graph visualization, data governance, migration impact analysis, or metadata products. - Exposure to regulated-industry products such as financial services, insurance, healthcare, or government. What Success Looks Like - Product experience makes complex lineage and impact information easier to understand, trust, and act on. - Clear design vision and practical design system adopted by the team. - User research informs product decisions. - Trusted partnership with Product, Engineering, and business stakeholders. Additional Requirements - Applicants must be authorized to work for any employer in the U.S.; no visa sponsorship available. - Candidates must reside in one of the specified U.S. states to be eligible for consideration.

🏢 Summary: Leadership role to build and scale the engineering function for an early-stage, perimeter-safe data lineage and migration impact-analysis platform serving regulated enterprises. You will own delivery, quality, security readiness, and roadmap execution while partnering with the Chief Architect and leading a distributed team. This is a hands-on player-coach position focused on bringing engineering discipline and enterprise-grade maturity to a growing product. 🗂️ Requirements: Engineering leadership experience managing and growing teams, Hands-on technical depth in data platforms, metadata, backend or platform engineering, Experience building or rebuilding engineering functions in early-stage environments, Experience implementing testing, QA, CI/CD and release processes, Experience leading distributed or offshore teams, Knowledge of security and compliance practices (SOC 2, audit logging, SSO, secure deployment), Strong practical use of AI in engineering workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: Data, Metadata, Backend, CI/CD, DevOps, QA, Containerization, Infrastructure-as-code, SOC2, SSO, AI, Security, Compliance, Audit, DevOps, Versioning 🏢 Description: Lead the engineering function behind an early-stage, perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. Description We are hiring a Director of Engineering to lead and grow the engineering organization behind a working product that is becoming a standalone business. This is a build-focused role where you will own delivery, quality, security readiness, engineering process, and execution of the technical roadmap, partnering closely with the Chief Architect. What You'll Work On - Lead a distributed engineering team across platform/product engineering, connectors, QA, DevOps/infra, AI implementation, data governance, and support. - Own delivery, quality, release discipline, and execution of the technical roadmap. - Implement automated testing, QA, CI/CD, release governance, and versioning. - Drive repeatable, perimeter-safe deployments including containerization, infrastructure-as-code, secure deployment, and SOC 2 readiness. - Partner on the connector framework, canonical metadata model, architecture decisions, and product IP. - Assess current talent, retain strong contributors, hire to fill gaps, and align the team to the roadmap. - Promote practical AI usage across coding, review, testing, operations, and engineering productivity. What You'll Bring - Experience leading and growing engineering teams, owning delivery, and shipping products. - Hands-on technical depth in data platforms, metadata, backend systems, or platform engineering. - Experience building or rebuilding engineering functions in startup or early-stage environments. - Experience implementing testing, QA, CI/CD, and release practices. - Experience leading distributed or offshore teams. - Security and compliance literacy for regulated environments, including SOC 2, audit logging, SSO, data security, and secure deployment. - Strong AI fluency with practical application across engineering workflows. How You Work - Player-coach mindset with ability to go deep technically and ship pragmatically. - Comfortable operating with incomplete information and defining direction. - Ability to improve quality, process, and security without slowing momentum. Bonus Points - Experience maturing early-stage products to enterprise-grade. - Background in regulated industries such as financial services, insurance, healthcare, or government. - Familiarity with perimeter or on-prem deployment, lineage, metadata, graph data, or migration impact-analysis. What Success Looks Like - Clear team ownership and strong delivery rhythm with a credible roadmap-to-release model. - Testing, QA, CI/CD, release governance, and versioning in place without slowing product momentum. - Progress toward enterprise-grade readiness for regulated buyers. - Trusted partnership with the Chief Architect and credible leadership across engineering and executive stakeholders. Additional Requirements - Must be authorized to work for any employer in the U.S. (no visa sponsorship available). - 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, or Washington DC.

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 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 JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. 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: 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: Enterprise sales role responsible for driving the full sales cycle of complex AI-driven data automation solutions, from pipeline generation to closing six-figure deals. The position focuses on acquiring and expanding enterprise customers by translating technical challenges into clear business value. It involves territory strategy, partner collaboration, and cross-functional work with product and solution teams to exceed ARR targets. 🗂️ Requirements: Minimum 5 years full-cycle sales experience in complex technology solution-selling, Proven achievement of $1M+ ARR quotas, Track record of sourcing and closing six-figure enterprise deals, Experience with enterprise software contracts and RFP processes, Proficiency in MEDDIC, Force Management, or Value Selling methodologies, Ability to independently source, manage, and onboard new customers, Strong pipeline management experience, Ability to translate technical challenges into business value propositions, Proven negotiation and closing skills with consistent quota achievement 📃 Skills: MEDDIC, Force, Management, Value, Selling, RFP, Enterprise, Software, SaaS, CRM 🏢 Description: Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. What we are looking for - Essential Skills: You will have at least 5 years of full-cycle sales experience in a complex technology solution-selling environment. You've consistently achieved and exceeded $1M+ ARR quotas and have a track record of sourcing and closing six-figure deals. You're skilled in sales methodologies like MEDDIC, Force Management, or Value Selling, and you know how to navigate large enterprise software contracts and RFP processes. You have a proven track record of independently sourcing, managing, developing, and onboarding new customers, demonstrating effective pipeline management. You can quickly uncover a customer's technical challenges and translate them into a clear business value proposition for all levels of their organization. You have exceptional negotiation and closing skills with a consistent record of achieving or exceeding sales targets. What you will be doing: You'll be responsible for the entire sales process, from generating your own pipeline to closing six-figure deals and managing enterprise customers. Develop a comprehensive strategy for your territory, collaborating with your SDR, marketing, and channel partners to maximize new customer acquisition and retention. Foster strong relationships with technology and consulting partners, educating them on the value of Matillion to create new business opportunities. Work cross-functionally with product, marketing, and solution architecture teams, and maintain a growth mindset by continuously learning and applying new techniques to sharpen your skills. Benefits: Company Equity 25 days PTO 5 days paid volunteering leave Health Insurance Life Insurance Access to mental health support 401k

🏢 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.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Senior Technical Expert role focused on evolving a Data Marketplace built on Data Mesh principles from a modular monolith to a microservices architecture. The position involves hands-on development in Java 21, integration of AI-driven search capabilities, and design of scalable AWS infrastructure. The goal is to deliver a seamless, e-commerce-like experience for accessing and managing digital data assets. 🗂️ Requirements: Strong experience with Java 21+, Experience with Spring Boot 3.x, Hands-on experience with messaging technologies (Solace preferred), Experience with Angular and TypeScript in SPA architecture, Knowledge of microservices and modular monolith architecture, Understanding of Data Mesh and Domain-Driven Design, Experience with PostgreSQL and MongoDB, Experience with search platforms (e.g. Sinequa), Practical experience with AWS (EC2, RDS, Lambda, EKS), Experience with Infrastructure as Code (Terraform), Knowledge of integration patterns and enterprise networking 📃 Skills: Java, Spring, Solace, Angular, TypeScript, PostgreSQL, MongoDB, Sinequa, AWS, EC2, RDS, Lambda, EKS, Terraform, Microservices, DataMesh, DDD, CI/CD 🏢 Description: As a Senior Technical Expert, you will be the technical cornerstone of our Data Marketplace —a platform built on Data Mesh principles. You will guide the evolution of a "shop-for-data" experience, moving our architecture from a robust Modular Monolith to a distributed Microservices ecosystem. You’ll be working with a cutting-edge stack (Java 21, AWS, AI-enhanced search) to ensure that "buying" digital assets is as seamless for our users as a consumer e-commerce experience. The end-goal is to build a comprehensive solution that enables FAIR data access to Digital Assets across the organization. Key Responsibilities Architectural Evolution: Lead the strategic transition from a modular monolith to microservices, ensuring domain boundaries are respected and performance remains high. Take ownership of the development of new components and ideas as you cooperate with a multidisciplinary team to deliver end-to-end experiences to the End Users. Lead Development: Write clean, high-performance code using Java 21+ features (Virtual Threads, Pattern Matching) to handle complex data transactions. Search & AI Innovation: Work on the roadmap to integrate AI/LLM capabilities into our search engine ( Sinequa ), enabling users to explore data assets via natural language and intelligent discovery. Data Stewardship: Oversee the polyglot persistence layer, optimizing PostgreSQL for relational integrity and MongoDB for flexible metadata storage. Cloud Leadership: Design and maintain scalable infrastructure within AWS , ensuring our CI/CD pipelines and deployment strategies are best-in-class. Mentorship: Act as a force-multiplier for the team, conducting rigorous code reviews and setting the standard for technical excellence. Requirements Technical Requirements Strong experience with modern Java (21+) and Spring Boot 3.x Hands-on experience with messaging technologies, ideally Solace Good understanding of SPA architecture and frontend development with Angular and TypeScript Familiarity with integration patterns and enterprise networking Solid architectural knowledge, including modular monoliths, microservices, Data Mesh, and Domain-Driven Design Experience working with PostgreSQL, MongoDB, and search platforms such as Sinequa Practical experience with AWS services, including EC2, RDS, Lambda, and EKS Experience with Infrastructure as Code, preferably Terraform Who You Are A Technical Visionary: You don't just solve today's bugs; you anticipate where the architecture will break two years from now. Data-Centric: You understand that in a Data Mesh, the product is the data itself. You care about metadata, lineage, and discoverability. User-Centered: You care about the end users experience and can cooperate with UX and Frontend developers to map and deliver first-in-class solutions. Pragmatic Architect: You know when to stick with a monolith for speed and exactly when the "swell" justifies a move to microservices. AI Curious: You are excited about moving beyond keyword search into the realm of semantic search and AI-driven data exploration. The Roadmap: What You’ll Build Phase 1: Refine the modular boundaries of the current Java 21 application. Deliver scalable and extensible transaction modules enabling Request-to-Use processes within the DataMarketPlace Phase 2: Orchestrate the "Great Migration"—consolidate existing Marketplace ecosystems into DataMarketPlace on-boarding tens of thousands of assets and thousands of users. Phase 3: Integrate AI-driven exploration features atop our Sinequa search layer. Salary: 22 000 - 33000 PLN + VAT (B2B)