Data Platform
Data Governance Engineer
Implement governance, catalog, lineage, quality, and access patterns that make data safe to use.
Oklahoma City, OK / HybridFull-timeMid-SeniorU.S. Citizen / TS capable
Impact
- Help teams understand where data came from and whether it can be trusted.
- Make sensitive data easier to protect and appropriate data easier to use.
- Support auditability for data and AI workflows.
What you'll do
- Build metadata, catalog, lineage, policy, and data quality workflows.
- Implement access controls, classification, retention, and governance automation.
- Partner with engineering and security teams on data risk management.
- Document data definitions, ownership, and stewardship practices.
What we're looking for
- 4+ years of data governance, data engineering, analytics engineering, or security experience.
- Experience with catalogs, lineage, data quality, policy enforcement, or metadata systems.
- Strong communication around data definitions, ownership, and controls.
- U.S. Citizenship is required.
- Must be capable of obtaining and maintaining a Top Secret security clearance.
- Comfort working with ambiguous mission, data, and engineering problems.
- Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
- AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
- AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
- Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
Hiring note
Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.