Lead architecture decisions across relational and NoSQL geospatial platforms, including PostGIS and Oracle Spatial schema design, performance tuning, and indexing strategy
Implement and manage cloud-native table formats (Apache Iceberg, Apache Parquet) supporting large-scale geospatial data lake environments
Partner with the OpenShift platform team on containerized database deployments and cloud-native operations
Define and enforce data governance, access controls, and retention policies in compliance with NGA standards
Mentor junior and mid-level DBAs; actively contribute to sprint planning and Program Increment (PI) objectives across the Release Train

Requirements

Active TS/SCI Poly
8+ years of database engineering experience, with at least 5 years in geospatial contexts
Expert-level PostgreSQL/PostGIS; working proficiency in Oracle Spatial or SQL Server
Hands-on experience with NoSQL platforms (MongoDB, Elasticsearch) for spatial data applications
Demonstrated production use of Apache Iceberg and/or Parquet in data pipeline environments
B.S. in Computer Science, Information Systems, Geography, or related field (equivalent experience accepted)
Familiarity with OpenShift/Kubernetes for database containerization
Experience operating within SAFe or Agile delivery frameworks

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PostgreSQLPostGISOracle SpatialSQL ServerNoSQLMongoDBElasticsearchApache IcebergApache Parquetdata governance

Soft Skills

mentoringsprint planningcollaboration

Certifications

Active TS/SCI Poly