Senior Geospatial Data Architect

GRVTY

Springfield (VA)

On-site

USD 120,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Health plan

HSA

Paid time off

401k match

Training & development

Company events

Job summary

GRVTY is seeking a senior data & GIS architect to manage, structure, and optimize geospatial and enterprise data for mission-critical operations. You will apply your GIS expertise to organize, normalize, and maintain spatial data, aligning with metadata standards and SDE-based geodatabases.

You will collaborate with analysts, engineers, and mission partners to improve workflows and governance across GEOINT environments.

Qualifications

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 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

Responsibilities

Manage, structure, and optimize geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic environments.
Apply GIS expertise to organize and maintain spatial data and align with metadata and extraction standards.
Design, normalize, and optimize data architectures to enhance performance and scalability; support enterprise geodatabases such as SDEs.
Collaborate with analysts, engineers, and mission partners to improve data workflows and enforce data governance practices.
Ensure data is structured to effectively support GEOINT and multi-INT mission requirements.