Data Governance Engineer

Implement governance, catalog, lineage, quality, and access patterns that make data safe to use.

• 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.

• 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.

• 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.

• AWS experience is a plus, especially secure cloud, Gov Cloud, 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.

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.