Governance Data Architect

Aleknagik Technology•Falls Church, VA

1d•Hybrid

About The Position

Aleknagik Technology , LLC is searching for a qualified candidate to fill the role of Governance Data Architect. 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. Duties: The Governance Data Architect is responsible for designing and enabling enterprise data governance capabilities across a federated data environment. Duties include, but are not limited to: Define and maintain enterprise data governance architecture supporting a federated data ecosystem. Translate data governance policy and compliance requirements into implementable technical designs, patterns, and workflows. Establish architectural standards for metadata management, stewardship, lineage, classification, and policy enforcement. Ensure alignment with DoD, DHA, NIST, HIPAA, FISMA, RMF, and Zero Trust requirements. Define metadata models and baseline data inventory frameworks cataloging authoritative and secondary-use data systems. Establish standardized technical, business, operational, and security metadata elements. Architect interim centralized repositories using approved platforms, ensuring proper access controls, versioning, and auditability. Ensure repository and inventory designs are forward-compatible with enterprise data catalog solutions. Support Analysis of Alternatives (AoA) efforts for enterprise data catalog platforms, including definition of evaluation criteria and technical assessments. Define enterprise metadata standards, taxonomies, naming conventions, and lifecycle workflows. Architect federated metadata exchange patterns across internal and external catalog platforms. Enable role-based self-service data discovery and stewardship workflows. Support user acceptance testing (UAT), usability assessments, and adoption strategies. Collaborate with data owners, stewards, system owners, SMEs, and security stakeholders. Provide architectural guidance for optional federated governance models and data product lifecycle management.

Requirements

4–7 years of experience in: Enterprise data governance and data architecture
Metadata management and data catalog platforms
Federated or hybrid data architectures
DoD or federal data policy and compliance environments
Translating governance policy into technical implementations
Stakeholder engagement and technical leadership
Risk-aware architecture and ATO-sensitive system design
Bachelor's degree in a related field, such as: Engineering Information Technology Data Analytics Mathematics Physical or Life Sciences

Responsibilities

Define and maintain enterprise data governance architecture supporting a federated data ecosystem.
Translate data governance policy and compliance requirements into implementable technical designs, patterns, and workflows.
Establish architectural standards for metadata management, stewardship, lineage, classification, and policy enforcement.
Ensure alignment with DoD, DHA, NIST, HIPAA, FISMA, RMF, and Zero Trust requirements.
Define metadata models and baseline data inventory frameworks cataloging authoritative and secondary-use data systems.
Establish standardized technical, business, operational, and security metadata elements.
Architect interim centralized repositories using approved platforms, ensuring proper access controls, versioning, and auditability.
Ensure repository and inventory designs are forward-compatible with enterprise data catalog solutions.
Support Analysis of Alternatives (AoA) efforts for enterprise data catalog platforms, including definition of evaluation criteria and technical assessments.
Define enterprise metadata standards, taxonomies, naming conventions, and lifecycle workflows.
Architect federated metadata exchange patterns across internal and external catalog platforms.
Enable role-based self-service data discovery and stewardship workflows.
Support user acceptance testing (UAT), usability assessments, and adoption strategies.
Collaborate with data owners, stewards, system owners, SMEs, and security stakeholders.
Provide architectural guidance for optional federated governance models and data product lifecycle management.