Lead Spatial Data & Geospatial Engine Architect (m/w/d)
Core
Architecting and scaling the central geospatial data engine that processes nationwide cadastral, network, and subsurface data to automate report generation and suitability assessments.
Role type
Lead Spatial Data & Geospatial Engine Architect
Builds
Automated geodata ingestion pipelines, spatial analysis algorithms, and automated cartographic dossiers
Domain
Geospatial infrastructure, public sector data, and spatial analytics
Deliverable
production ML models
Required skills
PostgreSQL, PostGIS, Python, GDAL/OGR, OWSLib, spatial SQL algorithms, ETL pipeline design
Preferred skills
Cloud-native Open Source architectures, document mining with AI/ML parsers
Technologies
PostgreSQL, PostGIS, Python, GeoPandas, Shapely, GDAL, OWSLib, WFS, WMS
Responsibilities
Conceive, implement, and scale the central geodatabase infrastructure; Develop robust ETL and scraping pipelines for official geoservices; Program high-performance spatial SQL algorithms for multi-layer data intersections; Integrate vision and AI parsers for extracting structured measurements from historical reports; Automate the generation of cartographic attachments and structured data reports.
Seniority
Lead, hands-on IC with architectural responsibility
