> Markdown version of [/jobs/ext/1181912-data-governance-engineer](https://www.wearedevelopers.com/jobs/ext/1181912-data-governance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance Engineer - **Company:** EPSoft Technologies - **Location:** Arlington, VA, United States - **Contract:** Permanent contract - **Skills:** Microsoft Access, Data Governance, Meta-Data Management, Role-Based Access Control, Azure Active Directory, Cloud Services, Systems Integration, Data Classification, Microsoft Fabric, Data Lineage, Collibra - **Published:** July 4, 2026 - **Apply:** https://www.careerjet.com/jobad/us5485c73835b118545762e7d7257e7e48 ## About the Role Hands-on experience with: o Microsoft Fabric governance (workspaces, domains, access, sharing) o Microsoft Purview (catalog, classification, lineage, glossary) Strong understanding of: o Data lineage, metadata management, business glossary o Data classification, sensitivity labeling, governance workflows Experience with: o Data governance implementation (stewardship, ownership, policies) o RBAC / access control (Azure AD / Entra or similar) o Cloud data platforms / lakehouse architectures Responsibilities Implement data governance using Fabric + Purview Configure catalog, lineage, classification, and access controls Define and enforce data governance policies and workflows Enable data product governance (certification, sharing controls) Align governance with security, compliance, and platform teams Good to Have Experience integrating Purview with enterprise tools (Atlan/Collibra) Familiarity with Data Mesh governance patterns and data product operating models Experience implementing data quality governance tooling and scorecards Knowledge of privacy/security frameworks (ISO, SOC2 concepts, GDPR-like principles) ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [ZEISS & Microsoft - Building the Next Generation Medical Ecosystem in the Cloud](https://www.wearedevelopers.com/videos/424-zeiss-microsoft-building-the-next-generation-medical-ecosystem-in-the-cloud) ## Related Articles - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries)