Senior Geospatial Analyst - TroutRoutes

Join to apply for the Senior Geospatial Analyst - Trout Routes role at on Xmaps, Inc.

As a pioneer in digital outdoor navigation, onX offers a fast-paced, technology-driven environment where ownership, accountability, and passion for excellence are essential. With over 400 employees across the country working largely remotely or in hybrid roles, onX creates regional “Basecamps” to connect and inspire.

Lead the next evolution of Trout Routes’ spatial data ecosystem, blending advanced geospatial analysis, data engineering, automation, and AI‑driven code/data generation. You will own hydrology, access, and navigation‑critical datasets end-to-end, architect spatial workflows, build automated pipelines, and leverage AI agents (such as Claude Code & Copilot) to accelerate data creation, transformation, and quality review. Your work powers all map layers, search functionality, access guidance, and regulatory context across the Trout Routes experience.

• Serve as the primary geospatial expert for Trout Routes, building content solutions and leading all geospatial- related technical data implementations.
• Architect and maintain automated geospatial data pipelines that power hydrology, access, land ownership, and administrative datasets.
• Use Claude Code and other AI tools to generate, optimize, and automate geospatial workflows, including feature extraction, segmentation, classification, conflation, and QA.
• Collaborate with the Ingestion workstream to design and optimize ELT workflows, ensuring data transformations and enrichments follow onX’s best-practice patterns.
• Serve as a strategic partner across Product, Cartography, and Engineering to translate complex geospatial challenges into actionable solutions and prioritize projects that deliver high-impact mapping improvements.
• Collaborate with Cartography, Data Delivery, and Engineering teammates to produce and manage high-quality vector tiles and map sources, integrating spatial datasets with backend systems, search infrastructure, and graph-based data stores.
• Manage external data acquisition, building and maintaining relationships with data providers and vendors, and leading the technical evaluation, ingestion, and validation of datasets.
• Create scalable, automated QA workflows, both manual and AI-driven, to detect topology errors, inconsistencies, or data health issues.
• Document spatial schemas, workflows, automations, and identity-mapping systems to ensure transparency, repeatability, and cross-team adoption.
• Provide clear communication of complex technical concepts to non-technical stakeholders and guide decision-making with geospatial insights.
• Produce results using a self-starter mentality, applying innovation, iteration, and continuous improvement.
• Other ad‑hoc duties as assigned by the Supervisor.

• Bachelor’s degree in Geospatial, Geospatial Engineering, Computer Science, Hydrology, Geography, or a related field; or equivalent technical experience.
• 8+ years of geospatial industry experience, including dataset sourcing, development, transformation, and deployment.
• Expert-level proficiency in QGIS and advanced geoprocessing techniques.
• Expertise with SQL, PostGIS, spatial indexing, and performance optimization.
• Strong Python skills, including GDAL, geopandas, PyQGIS, rasterio, and automation frameworks.
• Demonstrated ability to design and operate complex spatial data pipelines.
• Experience with vector tiling tools such as Tippecanoe and Mapbox source management.
• Strong understanding of hydrology topology, multi-section river systems, segmentation logic, and access connectivity.
• Proven ability to use Claude Code or other AI coding assistants to generate scripts, automate tasks, and accelerate spatial workflows.
• Ability to clearly communicate technical concepts to non-technical partners.

• Experience with graph-based data systems, including knowledge graphs or hierarchical spatial data stores.
• Experience with modern geospatial data formats such as Geo Parquet for scalable storage and processing.
• Experience building micro-services or distributed workflows for spatial data.
• Familiarity with cloud-based storage, data orchestration…