Senior AI Engineer – GIS Solutions

Key Responsibilities Architect and deploy ESRI-based GIS solutions (ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online, Portal for ArcGIS) Integrate GIS data with Power BI for geospatial analytics and executive dashboards Design and optimize spatial databases (PostgreSQL/PostGIS, SQL Server Spatial, Oracle Spatial) Develop ETL pipelines using Python (GeoPandas, ArcPy, FME) and Power Query Build web mapping applications using JavaScript (Leaflet, OpenLayers, ArcGIS JS API) Implement REST APIs and Power BI REST API for automation and data integration Lead BI architecture and reporting strategy aligned with land and lease performance metrics Manage Power BI Service including workspace governance, gateway configuration, and RLS Collaborate with stakeholders to translate business needs into technical solutions Drive cloud-based deployments (AWS, Azure, GCP) for scalable GIS and BI systems Enable self-service analytics and establish governance frameworks Technical Skills & Tools GIS Platforms & Architecture ESRI Suite: ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online, Portal Enverus GIS tools, energy-specific data platforms GIS infrastructure design: servers, databases, web services Power BI geospatial integration Programming & Development Python: GeoPandas, Shapely, Fiona, Rasterio, PyProj, ArcPy SQL/PostgreSQL + PostGIS, Advanced SQL & DAX JavaScript: Leaflet, OpenLayers, ArcGIS JS API REST API development, Power BI REST API, PowerShell Data Management & Analytics Spatial DB design: SQL Server Spatial, PostgreSQL/PostGIS, Oracle Spatial ETL: FME, Power Query, Python scripts Metadata management, data governance Land, well, lease data management Data warehouse design for GIS + BI Business Intelligence Power BI: DAX, Power Query, data modeling ArcGIS Maps for Power BI, custom visuals Executive dashboards: lease analytics, land KPIs Power BI Service admin, real-time reporting, RLS Oil & Gas Domain Expertise Land ownership, mineral rights, lease/title data Well spacing, drilling units, regulatory boundaries Land grid systems: PLSS, Texas State Plane KPI development: lease utilization, revenue/acre, auction analytics Architecture & Design Enterprise GIS & BI architecture System integration: land management, ERP Cloud architecture: AWS, Azure, GCP Microservices, API-first design Performance optimization, scalability planning Professional Qualifications 8–10+ years GIS experience, 3–5 years in design/architecture roles 3+ years Power BI development and deployment Strong stakeholder engagement and executive presentation skills Proven ability to lead cross-functional teams and mentor others Bachelor's/Master's in GIS, Geography, CS, Data Analytics Preferred: GISP, ESRI certifications, Power BI Data Analyst Associate Oil & gas industry experience highly desirable Key Deliverables Executive dashboards: land portfolio, lease economics, auction success Spatial analytics: competitive landscape, acreage positions Operational reports: well production, lease status, geographic overlays Predictive models: land valuation, auction strategy Education Qualifications G-Spatial Domains G-Spatial Related Domains PG-Spatial Domains PG-Spatial Related Domains Required Skills & Tools ArcGIS Pro ArcGIS Server Java Script API DB-Postgres-PostGIS ArcGIS-ArcObjects SDK Java OpenLayers API ArcGIS Online Core Concepts GIS Fundamentals