Data Architect

Data Architect

Location Springfield, VA, US, St. Louis, MO, US

Job Category Engineering Jobs

Clearance Required TS/SCI

Potential for Telecommute Hybrid

Modern Technology Solutions, Inc. (MTSI) is hiring a Data Architect to work in Springfield, VA or St. Louis, MO. Qualified candidates must be U.S. citizens with an active TS/SCI clearance and be eligible to obtain a CI Poly.

Responsibilities

• Leads the architecture, deployment, and sustainment of the Cloud Native Platform (CNP) powering Model-Based Systems Engineering (MBSE), enterprise data integration, Digital Threads, and future Digital Twin operations.

• Build and mature a secure, federated, multi-cloud platform that enables enterprise-scale Digital Engineering workflows, authoritative data synchronization and Zero Trust enforcement across multiple enclaves.

• Work closely with the tech lead, enterprise architect, DE/MBSE engineers, platform/cloud engineers, cyber team and mission engagement leads to ensure seamless interoperability, automated pipelines and lifecycle traceability across the DEE.

• Define data models, schemas, metadata structures, APIs and data governance rules that turn distributed data into authoritative decision-grade assets.

• Data Architecture Leadership: Serve as the enterprise lead for data architecture, governance, modeling, and integration shaping standards, structures, and pipelines that unify engineering data across the DEE

• Manage a Team of Data Engineers: Lead and mentor data engineers to build, automate and scale the enterprise data layer, including relational, graph, time-series and metadata systems supporting Digital Threads and lifecycle analytics

• Cross-Functional Collaboration: Partner with the tech lead, enterprise architect, DE/MBSE engineers, platform/cloud engineers, cyber teams and mission engagement leads to ensure the data layer supports enterprise models, Digital Threads and operational workflows.

• Strategic Advisory: Advise the Chief Architect and senior leaders on the maturity, gaps, risks and opportunities within NGA’s data ecosystems, providing recommendations that enhance interoperability, automation and authoritative data synchronization.

• Enterprise Data Modeling & Integration: Design end-to-end data models, schemas, ontologies, metadata structures, and APIs that enable a robust, scalable data layer integrating requirements, models, MS&A outputs, cost, schedule, test, and mission data.

• Digital Thread Development: Collaborate with MBSE, platform, and application teams to build automated pipelines and interfaces that aggregate authoritative sources, ensure data fidelity, and maintain lifecycle traceability across tools and enclaves.

• Data Governance: Establish and enforce enterprise-wide data governance including model integrity, data consistency, metadata standards, schema management, ontology alignment and lifecycle traceability. This ensures the DEE maintains an authoritative data source and supports secure, federated data synchronization.