Job Title : Lead GIS Architect – FME (Feature Manipulation Engine) Location : California Duration : 12+ Months Job Description: We are seeking a Lead GIS Architect with 15+ years of hands-on experience to lead the design, integration, and implementation of advanced Geographic Information Systems (GIS) for enterprise-level organizations. This role requires deep expertise in enterprise GIS platforms such as ArcGIS Enterprise, FME (Feature Manipulation Engine), PostGIS, QGIS, and cloud- based infrastructures (AWS, Azure). The ideal candidate will bring a strong mix of spatial data architecture, automation via ETL tools, cross-functional leadership, and a passion for delivering scalable geospatial solutions. Key Responsibilities: Architect and lead enterprise-scale GIS platforms to support geospatial data processing, visualization, and analytics. Design and implement cloud-native GIS infrastructures using AWS or Azure. Lead FME-based ETL automation pipelines for seamless data integration across spatial and non-spatial data systems. Oversee the migration of legacy GIS systems to modern cloud-based and open-source architectures. Integrate advanced GIS technologies such as ArcGIS Enterprise, QGIS, and PostGIS for enhanced geospatial workflows. Lead the development of custom geospatial applications, tools, and dashboards to support business decision-making. Collaborate with analysts, engineers, and business stakeholders to translate geospatial requirements into actionable technical solutions. Mentor a team of GIS professionals, developers, and analysts in best practices for modern GIS architectures. Drive innovation in geospatial data analytics and visualization, supporting domains such as infrastructure, logistics, and environmental planning. Qualifications: Bachelor’s or Master’s degree in GIS, Geography, Computer Science, Environmental Science, or related field. 14–20 years of progressive experience in GIS architecture, geospatial systems development, and data integration. Proven expertise in FME (Feature Manipulation Engine) for complex data automation and ETL pipelines. Deep experience with ArcGIS Enterprise, ArcGIS Online, QGIS, and PostGIS. Strong cloud GIS experience with AWS and/or Azure services (e.g., EC2, S3, RDS, Azure Maps). Proficiency in spatial data modeling, geospatial analysis, and database management (PostgreSQL, SQL). Demonstrated success in delivering GIS projects at enterprise scale across multiple sectors (e.g., infrastructure, aerospace, energy, tech). Leadership experience managing teams and collaborating across departments. Regards, Seema Kousar, seema@marstechnominds.com