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Data Governance Engineer Jobs in Reston, VA (NOW HIRING)

Experience * 6-12+ years in Data Governance / Metadata Engineering / Data Platform governance * Hands-on experience with: * * Microsoft Purview configuration and operations * Fabric governance ...

Leidos Digital Modernization sector is seeking an experienced Senior Data Governance Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Leidos Digital Modernization sector is seeking an experienced Senior Data Governance Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Leidos Digital Modernization sector is seeking an experienced Senior Data Governance Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across ...

Analytica is seeking a Data Governance Consultant   to support one or more dynamic, long-term ... Partner with business, analytics, and engineering stakeholders to translate regulatory and mission ...

Analytica is seeking a Data Governance Consultant   to support one or more dynamic, long-term ... Partner with business, analytics, and engineering stakeholders to translate regulatory and mission ...

Analytica is seeking a Data Governance Consultant to support one or more dynamic, long-term federal ... Partner with business, analytics, and engineering stakeholders to translate regulatory and mission ...

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... Position Overview The Data Governance Manager ensures end‑to‑end governance of satellite ...

Ensure data discoverability, semantic consistency, and traceability across engineering and ... Data governance charter and operating model; documented policies, standards, and control catalogs.

Our engineers and space scientists are on a mission to eliminate the connectivity gaps faced by ... Position Overview The Data Governance Manager ensures end-to-end governance of satellite network ...

Partner with Data Engineers and platform teams to automate technical metadata capture, lineage, and schema evolution across data pipelines. * Support the definition and rollout of governance ...

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How much do data governance engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data governance engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Governance Engineer, and why are they important?

To thrive as a Data Governance Engineer, you need a solid understanding of data management principles, metadata standards, data quality frameworks, and typically a degree in computer science, information systems, or a related field. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as proficiency in SQL, data modeling, and regulatory compliance frameworks such as GDPR, is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with stakeholders and ensuring adherence to data policies. These skills and qualities are vital to maintain data integrity, compliance, and support informed business decision-making.

What are Data Governance Engineers?

Data Governance Engineers are professionals responsible for designing, implementing, and maintaining systems and processes that ensure data is accurate, consistent, secure, and compliant with relevant regulations. They work closely with data stewards, IT teams, and business units to create data policies, manage metadata, and oversee data quality initiatives. Their role is crucial in helping organizations maximize the value of their data assets while minimizing risks related to data privacy and misuse.

How does a Data Governance Engineer typically collaborate with data stewards and business units to ensure data quality?

A Data Governance Engineer works closely with data stewards and various business units to define, implement, and monitor data quality standards. This involves facilitating cross-functional meetings, translating business requirements into technical data policies, and creating automated processes to enforce those standards. Regular collaboration ensures that data assets are accurate, secure, and compliant with regulations, while also supporting business goals. By acting as a bridge between technical teams and business stakeholders, Data Governance Engineers help foster a culture of data accountability and transparency.
What are popular job titles related to Data Governance Engineer jobs in Reston, VA? For Data Governance Engineer jobs in Reston, VA, the most frequently searched job titles are:
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What cities near Reston, VA are hiring for Data Governance Engineer jobs? Cities near Reston, VA with the most Data Governance Engineer job openings:

Data Governance Engineer

Robustware

Arlington, VA

Other

Posted 6 days ago


Job description

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