Lead Data Modeler
Location: Chantilly or Springfield

General Description:

StellarPeak Corp. provides NGA Foundational Engineering services and activities to include: Configuration Management, Enterprise Scheduling and Effectivity Management; Governance and Engineering Reviews; Standards Compliance, Definitions, Development and Management to include the Technical Reference Architecture; Enterprise Risk Management; and Systems Engineering Processes and Tools. The objective is to provide the expertise necessary to support both strategic enterprise and cross-program engineering and architecture activities.

Position Description:

The Lead Data Modeler provides GEOINT standards Data Modeling in UML, OWL, SKOS, GML, JSON, and XML for existing and future GEOINT Standards to ensure current and updated standards content meet capability delivery dates for NGA & NSG initiatives and solution providers.


  • Expert-level working experience (10 years or more) in a data modeling, data analytics and/or data science field of work.
  • Bachelor’s degree in technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
  • At least five (5) years demonstrated experience with:
    • Basic concepts of Unified Modeling Language (UML) Class Diagrams, object-based modeling concepts, and logical data models.
    • Design, development, presentation, and analysis of a domain based logical data model.
    • Developing, maintaining and/or enhancing Logical Theories and formal Ontologies to include: Resource Description Framework (RDF) and Web Ontology Language (OWL).
    • Decomposition of object-based logical models in order to understand data requirements.
  • Have familiarity with the major varieties of JSON (JSON-LD, GeoJSON, JSON-B, etc.).
  • Have familiarity with Simple Knowledge Organization System (SKOS).
  • TS Security Clearance with SCI Eligibility

Equal Employment

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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