Senior Data Architect

Onyx Government Services,LLC•,

1d•Remote

About The Position

Onyx Government Solutions (OGS) is seeking experienced Senior Data Architects to support the Defense Logistics Agency (DLA) Strategic Data Capabilities Division (J6TF). This role involves substantive data strategy and governance work, focusing on developing enterprise data strategies, building governance frameworks, managing metadata per DoD standards, assessing data quality, and supporting the architecture of DLA's analytical platform. This is not a maintenance or sustainment role.

Requirements

5+ years of experience as a Data Architect, Enterprise Data Architect, or equivalent technical role
Experience supporting a Chief Data Officer (CDO), enterprise data governance office, or equivalent organizational function in a federal agency or DoD component
Demonstrated experience developing enterprise data and analytics strategy documents, data management frameworks, or data governance charters
Experience with DoD metadata management standards and data policy — DoD 8320 series, Net-centric Enterprise Services, or equivalent federal data standards
Experience designing or enhancing Enterprise Data Warehouses (EDW) — logical/physical schema, data flow architecture, multi-source integration
Proficiency with data modeling tools: ERwin, SAP PowerDesigner, ER/Studio, or equivalent enterprise data modeling platform
Experience developing data dictionaries, data inventories, and data lineage documentation across complex, multi-system environments
Experience identifying and designating authoritative data sources, conducting data quality assessments, and producing remediation recommendations
IAT Level II certification (per DoD 8570.01-M / DoD 8140) at time of start — qualifying certifications include: CompTIA Security+, CISSP, CCNA Security, CySA+, or equivalent from the DoD-approved list
Active Top Secret clearance (IT-I Critical Sensitive / T5) required at time of proposal submission — no exceptions

Nice To Haves

Prior work within DLA, DoD logistics, or a defense supply chain data environment — familiarity with DLA data domains (procurement, distribution, disposition, reutilization) or DoD ERP data structures
Experience with Net-centric or Data-as-a-Service (DaaS) architectures aligned to DoD enterprise data strategy
Experience standing up or supporting data stewardship councils or data governance working groups in a federal environment
CDMP (Certified Data Management Professional) or TOGAF certification — strong differentiator for proposal evaluation
Familiarity with DoD Enterprise Architecture frameworks (DoDAF, FEAF) and their application to data architecture deliverables
Experience with data quality tools, metadata management platforms, or enterprise architecture repositories (e.g., Sparx EA, MEGA, Collibra, Alation)

Responsibilities

Develop and maintain enterprise data and analytics strategy documents, roadmaps, and improvement plans (including POA&Ms) for DLA J6TF
Design and support an enterprise data governance framework — governance structure documentation, data ownership assignments, data stewardship roles, and operating procedures
Manage metadata per DoD standards, including DoD Metadata Registry (DoD 8320 series) and Net-centric Enterprise Services requirements
Provide architecture recommendations for DLA analytical platforms — data ingestion, storage, processing, and delivery layers
Support enhancement of DLA's Enterprise Data Warehouse (EDW) — logical and physical schema design, data source integration, and analytical layer development
Develop data dictionaries, data inventories, and data lineage documentation across DLA's multi-system enterprise environment
Identify and register authoritative data sources across DLA data domains; document authoritative source designations per governance policy
Conduct data quality assessments — profile source data, document quality issues, and produce remediation recommendations
Support data governance working groups and data stewardship council activities — facilitation, briefings, and deliverable preparation
Develop and maintain artifacts including logical data models, conceptual data models, metadata management plans, and enterprise architecture alignment documents
Prepare monthly progress reports, IPR briefing charts, and deliverables for COR review