- Own the architecture of Python based data pipelines, setting standards for automation, cleaning, transformation, and analysis of geospatial datasets across projects.
- Develop ArcGIS Online Hosted Notebooks, ArcGIS Pro Python Toolboxes, and ArcGIS Geoprocessing services to support geospatial applications and workflows
- Lead database architecture decisions for enterprise relational and spatial systems, balancing performance, scalability, and maintainability.
- Deliver production-quality code following professional development standards, including version control with Git and GitHub for collaboration, collaborative code review, and release management
- Perform quality assurance and debugging of geospatial data, scripts, and services to ensure accuracy, performance, and reliability of delivered solutions
- Give live demonstrations and presentations to clients showcasing workflows, solutions, and outcomes
- Collaborate with clients to define project requirements, translate business needs into technical specifications, and communicate progress throughout the project lifecycle
- Serve as technical lead on select engagements, guiding architecture and implementation approach
- Mentor junior analysts and foster knowledge-sharing across the team
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