The role involves building, scaling, and maintaining technological infrastructure to support spatial data access and analysis. The individual manages enterprise geospatial databases and backend systems while delivering geoprocessing services. Responsibilities include designing and optimizing spatial database schemas and indexing strategies for high-volume data. The position requires developing custom geoprocessing tools and services to support routing workflows and web applications. Additionally, the role entails extending enterprise GIS environments through server administration and high-availability configurations. The professional also implements CI/CD pipelines and collaborates with cross-functional teams to establish best practices for geospatial data engineering.

Candidates must possess proven experience in building, deploying, and tuning relational and spatial databases with a focus on PostgreSQL and PostGIS. Proficiency in Python and SQL is required for backend data manipulation, automation, and API development. The role necessitates hands-on experience with Esri Enterprise Architecture and GIS software such as ArcGIS or QGIS. Furthermore, familiarity with CI/CD workflows and version control systems like Git is essential for the software development lifecycle. No specific degree or professional qualification is mentioned in the text.