Data Governance Engineer

Aleknagik Technology
2dHybrid

About The Position

Aleknagik Technology, LLC is searching for a qualified candidate to fill the role of Data Governance Engineer. This position supports enterprise-level data governance initiatives for a federal health organization and requires close collaboration with technical, security, and mission stakeholders. The selected candidate must be within commuting distance of Falls Church, VA, as this role requires on-site and hybrid support in alignment with customer requirements.

Requirements

  • 4-7 years of experience in: Data engineering, automation, and scripting (SQL, Python, R)
  • Metadata management and data catalog platforms
  • API integration and metadata exchange mechanisms
  • Data quality validation and operational controls
  • Federated or hybrid data environments
  • DoD, DHA, or federal compliance and security frameworks
  • Technical documentation and operational sustainment
  • Bachelor's degree in a related field, such as: Engineering, Information Technology, Data Analytics, Mathematics, Physical or Life Sciences

Responsibilities

  • Engineer and execute technical workflows supporting the baseline inventory of authoritative and secondary-use data systems.
  • Configure and maintain structured metadata capture templates and tooling to ensure consistent and standards-based data collection.
  • Support ingestion of system metadata, technical attributes, interfaces, and data flows into centralized governance repositories.
  • Validate metadata for completeness, accuracy, consistency, and alignment with defined governance standards.
  • Configure, maintain, and secure interim centralized repositories using approved platforms (e.g., SharePoint, PowerApps).
  • Implement technical controls for access management, versioning, audit logging, and data segregation.
  • Develop and maintain workflows for metadata submission, review, update, approval, and archival.
  • Support technical evaluation and prototyping activities for enterprise data catalog solutions.
  • Develop scripts and pipelines using SQL, Python, R, and other approved tools to automate metadata harvesting from source systems.
  • Implement automated metadata refresh, validation, and quality assurance routines.
  • Support AI-assisted documentation and metadata generation using approved tools.
  • Implement metadata standards, schemas, data dictionaries, and lifecycle workflows.
  • Configure data quality indicators, dashboards, and exception alerts.
  • Execute technical compliance checks supporting HIPAA, DoD, and DHA governance requirements.
  • Engineer and maintain federated metadata exchange mechanisms between internal and external catalog platforms.
  • Support self-service data discovery features, user acceptance testing (UAT), and performance tuning.
  • Collect and analyze usage metrics, system logs, and operational performance indicators.
  • Develop technical documentation, user guides, and operational support materials.
  • Support optional federated governance workflows and data product lifecycle automation, including versioning, SLAs, and deprecation.
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