Description : Senior AI Engineer GIS Solutions.

Location : India.

Department : Data & AI Engineering.

Reports To : VP Engineering.

About Codvo :

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact.

We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive.

Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

Role Overview :

We are seeking a highly skilled GIS & BI Solution Architect with deep expertise in geospatial platforms, enterprise architecture, and business intelligence.

This role will lead the design and deployment of integrated GIS-Power BI solutions supporting land analytics, lease economics, and operational KPIs in the oil & gas sector.

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 :

- 810+ years GIS experience, 35 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.