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