Data Governance Engineer

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