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