GIS Data Administrator
HybridSalt Lake City, Utah, United States
Job Summary
Design, build, and administer Fervo's enterprise geodatabase environment, including schema design, version management, and back-end spatial database infrastructure. Develop and maintain ETL pipelines to ingest, validate, and publish spatial data from land, engineering, and operational sources using Python and FME. Establish spatial data standards, metadata conventions, and automated QA/QC workflows to ensure data accuracy across authoritative datasets for land status, project boundaries, and operational features. Coordinate with GIS developers, CAD managers, and cross-functional teams including Land, Legal, and Engineering to support permitting, title diligence, and construction workflows. Serve as the internal subject-matter expert on spatial data infrastructure, advising project teams on data sourcing and schema design while contributing to internal documentation and onboarding resources.
Required Qualifications
- Bachelor's degree in GIS, Geography, Information Systems, Computer Science, or a related field; or equivalent professional experience.
- 4+ years of professional experience in GIS data management, geodatabase administration, or spatial data engineering.
- Expert proficiency in ArcGIS Pro and ArcGIS Enterprise/Portal geodatabase administration.
- Hands-on experience with enterprise relational spatial databases (PostgreSQL/PostGIS or SQL Server Spatial).
- Demonstrated experience building and maintaining automated spatial data pipelines using Python.
Desired Qualifications
- Experience with Western U.S. federal and state land data sources (BLM, USFS, state trust land offices, county assessors) strongly preferred.
- Familiarity with FME (Feature Manipulation Engine) or similar ETL platforms a plus.
- Background in energy, natural resources, environmental consulting, or land development preferred.
- Strong organizational and documentation skills; able to manage a complex data environment with disciplined structure.
- Collaborative with a track record of working effectively with technical and non-technical stakeholders to define and meet data needs.
- Self-directed with the ability to manage competing priorities in a fast-paced, multi-project environment.
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