Senior Data Architect

Modern Technology Solutions Inc•St. Louis, MO

10d•$140,000 - $250,000•Onsite

About The Position

Modern Technology Solutions, Inc. (MTSI) is hiring a Senior Data Architect to work in Springfield, Virginia, or St. Louis, Missouri, supporting an Intel customer. The role designs, builds, and governs the Enterprise Data Layer of a Digital Engineering Ecosystem. It owns implementation of the Data Fabric and Data Mesh, integration APIs, and data model and ontology governance, enabling the ecosystem to expand into financial management, contract management, workforce, portfolio, budget and schedule, and risk and mission performance domains. The position leads the technical and engineering portions of major program workstreams and delivers release-based artifacts, including deployment source code, data model and ontology documentation, and schema artifacts. The successful candidate must be a U.S. citizen with an active TS/SCI clearance and be eligible to obtain a CI polygraph.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or additional relevant experience in lieu of a degree.
10+ years of data architecture or engineering experience, including enterprise-scale data integration.
Hands-on experience with relational, graph, and/or vector databases, such as PostgreSQL, Neo4j, or pgvector.
Experience with data pipeline orchestration, such as Argo Workflows, Airflow, or comparable tools.
Experience designing data mesh or data fabric architectures, metadata cataloging, and search infrastructure such as OpenSearch or Elasticsearch.
Strong API design experience using OpenAPI/REST standards and integration with cloud or on-premises data lakes.
U.S. citizenship and an active TS/SCI clearance.
Ability to pass a CI polygraph within 30 days.

Nice To Haves

Experience supporting DoD or Intelligence Community enterprise data or digital engineering programs.
Experience with BI or dashboarding tools such as Power BI or Superset for portfolio and acquisition management reporting.
Familiarity with digital engineering data domains, including requirements, cost, schedule, test, and operations, and with Digital Thread concepts.
Exposure to Kubernetes-based, cloud-native deployment of data services, such as AWS EKS, Azure AKS, or on-premises RKE2/NKP.
Data governance certifications or equivalent experience with IC/DoD data standards and interoperability requirements.

Responsibilities

Design, build, and govern the Enterprise Data Layer of a Digital Engineering Ecosystem supporting an Intel customer.
Own Data Fabric and Data Mesh implementation, integration APIs, and data model and ontology governance to enable expansion into additional enterprise domains.
Lead the technical and engineering portions of major program workstreams and ensure deliverables meet quality standards within time and budget constraints.
Design and establish 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 data models, metadata models, ontologies, 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.
Implement standardized OpenAPI/REST APIs and data lake integration using on-premises or cloud object storage to support federated, secure data sharing across organizational and TS/SCI boundaries.
Deliver dashboards and portfolio management views for Enterprise Architecture and Business Intelligence stakeholders.
Support baseline governance controls for data consistency, lifecycle alignment, and distributed execution across programs and mission teams.
Produce release-based deliverables, including deployment source code, data model and ontology documentation, and Data Fabric schema artifacts.