Data Steward -- Senior

What You'll Be Owning:

In this role, you will support mission-critical intelligence operations by managing, structuring, and optimizing geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic environments. You will apply your expertise in GIS, data schemas, and georeferencing to organize and maintain spatial data, ensuring alignment with established metadata and extraction standards. Leveraging relational database management systems, you will design, normalize, and optimize data architectures to enhance performance and scalability, while supporting enterprise geodatabases such as Spatial Database Engines (SDEs).

What Impact You'll Have:

You will utilize tools including the ArcGIS Suite, ArcGIS Online, Portal, SQL, Oracle, Excel, and Access to store, manage, and maintain high-quality datasets that enable downstream analysis. Additionally, you will collaborate closely with analysts, engineers, and cross-functional mission partners to improve data workflows, enforce data governance best practices, and ensure that data is structured to effectively support GEOINT and multi-INT mission requirements. This role requires a proactive mindset, attention to detail, and a strong commitment to team success in a fast-paced, mission-driven environment.

What You Must Have:

• Active TS/SCI Clearance is required with the ability to obtain a CI Poly.
• 10+ years of relevant experience. (A combination of years of experience, professional certifications, and education may be used in lieu of years of experience)
• Demonstrated understanding of GIS, data schemas, and the geo-referencing of information
• Knowledge of extraction and metadata specifications
• Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques
• Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs)
• Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data
• Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships
• Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams

What Would Be Nice to Have:

• Knowledge of scripting languages, such as R or Python
• Demonstrated understanding of cartographic principles
• Knowledge of Tableau or other data visualization tools
• Experience supporting data governance, data stewardship, or data quality initiatives in enterprise environments
• Certifications:
  • GEOINT Professional Certification - Fundamentals (F)
  • GEOINT Professional Certification – Geospatial Data Management (GDM)