Data Governance

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 (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).