Hiring: Senior Data Architect Company: Modern Technology Solutions, Inc. (MTSI) Location: Springfield, VA Job Posted Time: 2026-09-10 12:36:20 Employment Type: Contract Target Skills & Keywords : API Design, AWS, Airflow, Azure, Data Lake, Data Mesh, Data Pipeline, EKS, Elasticsearch, Enterprise Architecture, Kubernetes, Neo4j, OpenAPI, OpenSearch, Portfolio Management, PostgreSQL, REST, Systems Engineering, TimescaleDB, pgvector About the job Experience: •10+ years of data architecture/engineering experience, including enterprise-scale data integration. Required Skills: •Design, build, and govern the Enterprise Data Layer of a Digital Engineering Ecosystem supporting our Intel customer. •Owns the Data Fabric and Data Mesh implementation, integration APIs, and the data model/ontology governance that allow the ecosystem to expand beyond systems engineering & architecture (SE&A) data into financial management, contract management, workforce, portfolio, budget/schedule, and risk/mission performance domains over time. •Leads the technical/engineering portion of major program workstreams and ensures deliverables meet established quality standards within time and budget constraints. •Design and stand up the enterprise Data Fabric and Data Mesh as the authoritative control point for engineering data, enforcing a governed ASoT and continuous Digital Thread synchronization across tools and programs. •Develop and maintain the data model, metadata model, ontology, schemas, and translation services that standardize enterprise architecture and engineering data. •Build and operate data pipelines integrating relational, vector, and graph databases, search, and catalog capabilities (e.g., PostgreSQL, TimescaleDB, pgvector, Neo4j, OpenSearch, OpenMetadata, Argo Workflows). •Implement standardized APIs (OpenAPI/REST) and data lake integration (on-prem or cloud object storage) to enable federated, secure data sharing across organizational and TS/SCI boundaries. •Deliver dashboards and portfolio management views supporting Enterprise Architecture & Business Intelligence stakeholder needs. Qualifications: •Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or additional relevant experience in lieu of a degree. •Applied hands-on capability in relational, graph, and/or vector databases (e.g., PostgreSQL, Neo4j, pgvector) and data pipeline orchestration (e.g., Argo Workflows, Airflow, or comparable). •Strong API design experience using OpenAPI/REST standards and integration with cloud or on-prem data lakes. •Operational familiarity with digital engineering data domains (requirements, cost, schedule, test, operations) and Digital Thread concepts. •Exposure to Kubernetes-based, cloud-native deployment of data services (AWS EKS, Azure AKS, or on-prem RKE2/NKP). •Data governance certifications or equivalent experience with IC/DoD data standards and interoperability requirements. •Must be a U.S. citizen with an active TS/SCI clearance and have the ability to pass a CI polygraph within 30 days. Compensation: •$130,000 - $190,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!