Data Integration & Metadata Architect

UICGS/Bowhead is seeking a Data Integration & Metadata Architect to support PM MAGTF C2 and the Common Services and Applications (CSA) Agile Release Train (ART) in Stafford, Virginia.

The position will provide hands-on technical support for the management, architecture, and evolution of data sources, interfaces, data products, and integration patterns across the MAGTF C2 Common Software Stack.

Working with Government Product Management, data engineers, architects, analysts, system owners, and technical stakeholders, the Data Integration & Metadata Architect will establish and maintain technical visibility of the data ecosystem supporting the Tactical Data Orchestration Layer (TDOL) and other Common Services capabilities. The position will document and maintain authoritative information describing data sources, interfaces, schemas, ownership, lineage, transformations, consumers, dependencies, and lifecycle while supporting implementation and maturation of enterprise metadata and data-catalog capabilities.

This position requires a technically engaged practitioner who can work directly with data, systems, engineers, and metadata-management tools to discover how data actually moves through the environment and maintain that knowledge as systems and data products evolve. This position is located in Stafford, Virginia.

• Establish and maintain technical metadata for data sources, interfaces, feeds, datasets, and data products supporting TDOL and the broader Common Services ecosystem.
• Capture and maintain information describing data ownership, authoritative sources, schemas and models, interfaces, transport mechanisms, update characteristics, operational availability, and technical constraints.
• Develop and maintain end-to-end data lineage across source systems, interfaces, ingestion services, transformations, data products, distribution mechanisms, and consuming applications.
• Maintain metadata within enterprise data catalog or metadata-management platforms, ensuring information remains current, searchable, traceable, and useful to technical and product stakeholders.
• Identify dependencies among producers, consumers, interfaces, schemas, transformations, and data products and assess potential impacts resulting from planned technical changes.
• Analyze data flows and integration patterns to identify duplication, gaps, inconsistencies, unnecessary transformations, unclear ownership, and opportunities for reuse.
• Develop and maintain logical and physical data models, interface documentation, data-flow representations, and related technical artifacts as required.
• Work directly with data engineers, software developers, system owners, architects, and vendors to discover, validate, and maintain technical metadata and integration information.
• Support definition and maturation of reusable data products, including identification of authoritative sources, consumers, interfaces, dependencies, metadata, and lifecycle considerations.
• Support technical analysis and experimentation involving shared data services, data fabrics, integration technologies, and emerging C2 capabilities.
• Provide Government Product Management and technical leadership with current information on the data ecosystem, dependencies, integration risks, and implications of proposed changes.
• Other duties as assigned.

• Bachelor's degree in Computer Science, Data Science, Information Systems, Systems Engineering, or a related technical discipline, or equivalent combination of education and directly relevant experience.
• 5+ years of relevant hands-on experience in data engineering, data integration, data architecture, metadata management, systems integration, or related technical disciplines.
• Recent hands-on experience working with data sources, interfaces, schemas, pipelines, APIs, databases, streams, or other operational data systems.
• Experience using enterprise data catalogs, metadata-management platforms, or metadata repositories such as Data Hub, Collibra, Alation, Microsoft Purview, Apache Atlas, or comparable technologies.
• Experience capturing and maintaining technical metadata for data sources, datasets, interfaces, APIs, streams, data products, or other data assets.
• Experience developing or maintaining data lineage across source systems, ingestion, transformation, storage, distribution, and consuming systems.
• Strong understanding of data integration concepts and technologies, including APIs, message/event streams, databases, files, data pipelines, and…