Data Governance Engineer

Job Title:

Data Governance Engineer Location:

Arlington, VA (Priority 1) and St. Louis, MO (Priority 2)

Duration:

Contract Experience:

6 12+ years in Data Governance / Metadata Engineering / Data Platform governance Hands-on experience with: Microsoft Purview configuration and operations Fabric governance concepts and controls (workspaces, domains, items, sharing) Strong understanding of: Data lineage, metadata models, business glossary, classification Identity/RBAC alignment for governance enforcement Experience designing integrations with enterprise governance tools (Atlan/Collibra/Alation preferred) Key Responsibilities Governance Architecture & Operating Model Enablement Translate enterprise governance policies into implementable controls across Fabric.

Define governance blueprints for:

Domain-based governance (Data Mesh/data products) or centralized CoE models Data product certification/endorsement workflows Stewardship model (owners, custodians, data stewards), RACI mapping Purview Setup & Fabric Governance Configuration Configure Microsoft Purview for enterprise usage: Scans, collections, role assignments, access controls Classification rules, sensitivity labels, glossary, lineage settings Enable Fabric integration outcomes such as: Asset discovery and catalog publishing Lineage capture (as supported by sources and Fabric items) Metadata enrichment and lifecycle tagging for data products Atlan Integration (Enterprise Governance Tool Alignment) Design and implement integration between Purview and Atlan (as per enterprise tool strategy): Metadata synchronization patterns Lineage strategy and reconciliation (Fabric lineage vs enterprise lineage) Business glossary alignment Define integration operating model: Sync frequency, mapping rules, exception handling Handling duplicates, naming standards, asset identity resolution Collaborate with governance stakeholders to ensure Atlan reflects Fabric assets accurately and consistently. Policy Enforcement & Controls Implementation Implement governance controls such as: Data classification, sensitivity labels, and policy tagging Certification/endorsement gates for promoted data products Data sharing guardrails and approval workflows Work with Security/Platform teams to align: Entra ID group-driven RBAC and access review processes Compliance needs (retention, auditing, data access reporting) Metadata Management, Data Quality Governance & Data Contracts Build and maintain standards: Naming conventions, domain taxonomy, data product templates Implement data product documentation templates and data contracts: Schema expectations, SLAs, quality rules, owners Integrate with engineering teams to integrate Data Quality & Metadata within pipelines (metadata-driven approach). Good-to-Have Knowledge of privacy/security frameworks (ISO, SOC2 concepts, GDPR-like principles) Experience implementing data quality governance tooling and scorecards Familiarity with Data Mesh governance patterns and data product operating models