1

Data Governance Engineer Jobs in Houston, TX (NOW HIRING)

Manage dependencies across Supply Chain, Data Engineering, Platform, and Analytics teams. Roadmap ... Define the scale-out governance playbook for replication across additional Supply Chain sub-domains.

Partner with Data Engineering,Analytics and Digital Enablement, and business teams toidentifyand ... Facilitate data governance training and awareness programs. * Support enterprise reporting ...

Partner with Data Platform & Engineering to align citizen-development workspaces, environments ... Partner with the Data Governance Adoption Lead to align citizen-development practices with ...

Partner with Data Platform & Engineering to align citizen-development workspaces, environments ... Partner with the Data Governance Adoption Lead to align citizen-development practices with ...

Data Governance- Manager

Houston, TX ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data ...

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

next page

Showing results 1-20

Data Governance Engineer information

See Houston, TX salary details

$40.5K

$118K

$161.5K

How much do data governance engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data governance engineer in Houston, TX is $118,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,100.00 per year, depending on experience, location, and employer.

What is a data governance engineer?

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.

What are the key skills and qualifications needed to thrive as a data governance engineer?

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.

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.

Is data governance a good career?

Data Governance Engineer is a growing role focused on managing data quality, security, and compliance within organizations. It requires knowledge of data management tools, policies, and regulations, making it a stable and in-demand career path with opportunities for advancement. The field offers a blend of technical and strategic work, suitable for those interested in data integrity and organizational compliance.

What does a data governance engineer do?

A data governance engineer is responsible for establishing and maintaining data management policies, standards, and procedures to ensure data quality, security, and compliance. They often work with data catalogs, metadata management tools, and collaborate with data stewards and IT teams to implement data governance frameworks. Strong knowledge of data privacy regulations and data modeling is essential for this role.

What are popular job titles related to Data Governance Engineer jobs in Houston, TX?

For Data Governance Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Governance Engineer jobs in Houston, TX look for?

The top searched job categories for Data Governance Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Data Governance Engineer jobs?

Cities near Houston, TX with the most Data Governance Engineer job openings:

Infographic showing various Data Governance Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,026 per year, or $56.7 per hour.

Data Governance Lead

Houston, TX โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Contractor

Re-posted 9 days ago


Job description

Role Summary
The Data Governance Lead will serve as the on-site program lead and primary client-facing authority for the Supply Chain Data Governance initiative. This role is accountable for establishing and operationalizing a federated data governance model, aligning Supply Chain stakeholders with Enterprise/CDO direction, and driving execution against the approved roadmap and milestones.
The role combines strategic governance leadership, stakeholder orchestration, and delivery oversight, ensuring progress across governance design, stewardship activation, KPI definition, and pilot execution-without directly owning tooling configuration or run-state operations.
Key Responsibilities
Program & Governance Leadership
โ€ข Lead the Supply Chain federated Data Governance operating model, including decision rights, councils, working groups, stewardship roles, and escalation paths.
  • Stand up and run the Supply Chain Data Governance Council and Working Groups, including agenda design, decision facilitation, and executive readouts.
  • Own the Data Governance Charter, principles, policies, and standards and ensure alignment with Enterprise/CDO/Polaris governance direction.

Stakeholder & Executive Engagement
โ€ข Act as the primary interface with senior Supply Chain leadership, Business Data Owners (BDOs), and the CDO/Polaris teams.
  • Drive Business Data Owner sign-offs on scope, standards, critical data elements, and governance decisions.
  • Manage dependencies across Supply Chain, Data Engineering, Platform, and Analytics teams.

Roadmap, Readiness & Delivery Oversight
โ€ข Lead the DG readiness assessment and "Get-Green" plan, including phased rollout sequencing and dependency management.
  • Own the pilot sub-domain selection, success criteria, and milestone tracking.
  • Ensure delivery of all monthly milestones, RAID management, and change control in line with the SOW cadence.

Standards, Metrics & Scale-Out
โ€ข Oversee definition of Critical Data Elements (CDEs/CDOs), business glossary standards, metadata and lineage blueprints.
  • Lead development of the DG and DQ KPI framework, including baseline definition and adoption measurement.
  • Define the scale-out governance playbook for replication across additional Supply Chain sub-domains.

Advisory & Enablement (Non-Technical)
โ€ข Provide governance oversight for AI-ready data pilots (advisory only; no AI or tooling implementation).
  • Guide change management activities, including communications, training approach, and adoption monitoring.

Required Experience & Skills
โ€ข 10+ years in Data Governance, Data Management, or Enterprise Data Leadership roles.
  • Proven experience defining and leading federated data governance models in large, complex organizations.
  • Strong understanding of metadata, lineage, stewardship, data quality frameworks, and data product concepts.
  • Executive-level stakeholder management and facilitation skills.
  • Familiarity with frameworks such as DAMA-DMBOK, DCAM, TOGAF.
  • Experience working with governance/catalog platforms (e.g., Purview, Collibra, Atlan, Alation) at a design and operating-model level.