Data Solutions Engineer

🏢 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 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: 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: 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: 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: 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)

🏢 Summary: Senior Director, Data Platform and Engineering role leading a global data and analytics engineering team to build and scale a secure, AI-enabled data platform. Responsible for owning the end-to-end data lifecycle, strengthening governance and security, and delivering scalable data foundations that power AI/ML initiatives. Combines hands-on technical leadership with strategic oversight to ensure high-quality, trusted data across the organization. 🗂️ Requirements: 10+ years experience in data platform and data engineering, 5+ years in data engineering leadership role, Experience building data foundations for AI and ML initiatives, Deep knowledge of modern data stacks and data warehousing, Hands-on experience with ETL/ELT pipelines and data modeling, Proficiency in Python and SQL, Experience with cloud data platforms (AWS, GCP, or Azure), Experience implementing data governance and security controls, Experience supporting regulatory compliance (e.g., FedRamp), Proven experience leading and scaling data engineering teams 📃 Skills: Python, SQL, AWS, GCP, Azure, ETL, ELT, AI, ML, Tableau, FedRamp, Datawarehousing, Datamodeling, Governance 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Opportunity Okta is seeking a visionary and results-driven Senior Director, Data Platform and Engineering to lead a global data and analytic engineering team ensuring our data assets are leveraged to their full potential. Reporting to the VP of Data and Insights this role requires a leader who is as comfortable with a technical deep dive as they are with a strategic business discussion. You will be a "player-coach" who can build and mentor a world-class team while personally driving strategic initiatives and ensuring the integrity of our data foundation. A core part of your responsibility will be to champion and enable our AI strategy and technical foundations, ensuring that clean, trusted, and well-governed data is the foundation for all AI initiatives. With the growth of AI in our Products and our business, Okta’s data is more critical to our success than ever. This role will make sure we continue to support the organization run and grow, while building out the platform for the future. Candidates should be energized by that challenge. What You'll Do Lead and Inspire a High-Performing Team: Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning. Champion AI Enablement: Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models. Advance the Data Foundation: Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization. Enhance Data Security and Governance: Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies. Partner Cross-Functionally: Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development. What You Bring Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role. AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives. Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure). Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred. Cross-Functional Collaboration: Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences. Team Development: A track record of successfully hiring, mentoring, and leading high-performing data teams. Problem-Solving: A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach. #LI-MC1 #LI-Hybrid #P14112_3419375The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $276,000—$379,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$246,000—$338,800 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 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: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!