Data Governance in Falls Church, Virginia

Urgent Role:
Data Governance Engineer

Location:

Arlington, VA

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 (work spaces, 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)

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
-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).