• Maintain a deep understanding of GIS data models supporting electric utility distribution systems. • Network connectivity, asset modeling, and topology configurations. • Experience supporting migrations from geometric network or legacy GIS models to Utility Network. • Ensure GIS data supports OMS requirements including network tracing, switching, and outage prediction. • Maintain data quality, validation rules, and topology integrity. • Assess GIS model readiness for downstream operational systems including OMS and ADMS • Define modeling standards and best practices to support scalable integration • Design and advise on integrations between GIS and OMS platforms. • Ensure accurate network model representation for outage analysis and restoration operations. • Support data synchronization, data mapping, and transformation processes between systems. • Develop and maintain interface specifications, data flows, and integration processes. • Troubleshoot and resolve integration and data consistency issues. • Support model alignment between GIS connectivity and OMS network models. • Identify integration risks and data gaps early in project lifecycles and recommend mitigation strategies • Configure and support Esri ArcGIS Enterprise, Utility Network services, and related components. • Collaborate with OMS vendors and internal teams on data requirements and model alignment. • Support testing activities including system integration testing and user acceptance testing. • Monitor system performance and recommend improvements. • Work with utility engineering, operations, outage management, and IT teams to gather requirements. • Translate business and operational needs into GIS and OMS model designs. • Provide technical documentation and model standards. • Support production deployments and operational support activities. • Support presales, discovery, and early-stage solutioning efforts by articulating GIS and integration dependencies to internal and external stakeholders • Communicate complex technical topics to project managers, directors and executive audiences

• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows • Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF • Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale • Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software • Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery • Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems • Apply modern software practices including Docker, CI/CD, and automated testing across all development work • Perform related duties as assigned