Geospatial Data Architect (Hybrid Eligible)

Within ORNL's Geoinformatics Engineering Group, the Geospatial Data Architect designs spatial data ecosystems that support analytics and operational workflows at a DOE national laboratory. Key responsibilities: design scalable geospatial data architectures using modern storage patterns; establish data standards, integration frameworks, and lifecycle management systems; optimize performance through partitioning, indexing, and distributed processing strategies; align infrastructure with team workflows while promoting ORNL's core values. Basic qualifications: Bachelor's or Master's degree in Computer Science, Geospatial Science, Data Engineering, or related field; minimum 5 years in data architecture or backend systems; proficiency in data modeling and SQL; familiarity with geospatial concepts and tools. Preferred qualifications: Parquet/GeoParquet expertise; S3 object storage experience; data lake/lakehouse governance knowledge; scalable pipeline design for spatial datasets; cloud-native geospatial format experience; data management best practices. Special requirements: Sensitive Compartmented Information (SCI) clearance eligibility, including drug testing and possible polygraph; no visa sponsorship available. Requisition 16689.