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

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

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

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.

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)

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( preferred )

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

Rahul Sharma | Team Lead
Amaze Systems Inc

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

Key skills