

Kastech Software Solutions Group
Data Governance
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Engineer in Arlington, VA, offering a contract of unspecified length. Pay rate is also unspecified. Requires 6–12+ years in Data Governance, expertise with Microsoft Purview, and experience with Atlan/Collibra/Alation integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Arlington, VA
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🧠 - Skills detailed
#Compliance #Classification #Alation #Data Enrichment #Data Management #Data Quality #Documentation #Metadata #Security #Strategy #Data Access #Collibra #Data Lineage #Data Engineering #Data Governance
Role description
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).
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).






