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Data Governance Engineer Jobs (NOW HIRING)

Yantran LLC

Data Governance Engineer

Saint Louis, MO · On-site

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:

YANTRAN LLC

Data Governance Engineer

Saint Louis, MO · On-site

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:

KaashTech LLC

Data Governance Engineer

Arlington, VA · On-site

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

Booz Allen Hamilton

Data Governance Engineer, Lead

$99K - $225K/yr

As a Data Governance Engineer on our team, you'll have the chance to shape the evolution of mission data governance by leading modernization efforts for the client's enterprise data team. Your ...

Pantheon

Data Governance Engineer

Spring, TX · On-site

Systems engineering thinking and its application to identifying and driving sustainable data solutions across major projects. * Strong communication skills to articulate data governance concepts to ...

Semrush

This role is ideal for someone who combines hands-on engineering capabilities with a systems ... Promote, enable, and support Data Governance and Data Quality standards, best practices, and ...

Assa Abloy

Sr. Data Governance Engineer

New Haven, CT · On-site

ASSA ABLOY, the global leader in access solutions, is seeking a highly motivated Sr. Data Governance Engineer to further define and scale our enterprise data governance program throughout the Opening ...

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Data Governance Engineer information

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$44.5K

$129.7K

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How much do data governance engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data governance engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
More about Data Governance Engineer jobs
What cities are hiring for Data Governance Engineer jobs? Cities with the most Data Governance Engineer job openings:
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Data Governance Engineer jobs near you
Infographic showing various Data Governance Engineer job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Governance Engineer

Yantran LLC

Saint Louis, MO • On-site

Other

Posted 20 days ago

Key responsibilities

  • Configure Microsoft Purview and Fabric governance controls, including scans, collections, role assignments, access controls, classification rules, glossary, and lineage settings.

  • Design and implement integration between Purview and Atlan, including metadata synchronization, lineage strategy, business glossary alignment, and integration operating model.

  • Implement governance controls such as data classification, sensitivity labels, policy tagging, certification gates, data sharing guardrails, and compliance processes.

Job description

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

  • 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

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