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Cognizant Technology Solutions Asia Pacific PTE. LTD. is seeking a GIS Solution Architect to drive the digital transformation of enterprise geospatial systems.
You will lead the migration of ArcGIS ecosystems to the cloud, bridging GIS science with .NET/JS engineering to deliver scalable, secure solutions. You will oversee cloud-native designs for ArcGIS Enterprise, manage legacy migrations, and guide web app development using C# .NET, React, and Next.js while ensuring governance and security
The GIS Solution Architect will drive the digital transformation of enterprise geospatial systems, leading the technical migration of complex ArcGIS ecosystems from on-premises infrastructure to the cloud. This role serves as the technical authority bridging GIS spatial science with modern .NET/JS software engineering, ensuring solutions are scalable, secure, and compliant with enterprise security and governance standards.
Design and implement robust, cloud-native architectures for ESRI ArcGIS Enterprise (Portal, Server, Data Store) within cloud environments (Azure/AWS).
Lead the migration strategy for legacy GIS platforms, navigating technical and security constraints to ensure seamless transition to the cloud.
Oversee development of enterprise web applications using C# .NET, React, and Next.js, integrated with ArcGIS Maps SDK for JavaScript.
Ensure all digital solutions meet enterprise security, governance, and quality protocols.
Develop and optimise Python (ArcPy, GDAL) and FME pipelines to automate geoprocessing and ETL tasks.
Implement microservices using .NET/Python and Docker, managed through DevOps CI/CD pipelines for automated testing and deployment.
Act as technical lead in discussions with business stakeholders, translating business requirements into technical blueprints and managing User Acceptance Testing (UAT) phases.
Expert knowledge of cloud platforms and cloud services (EC2, S3, EKS, Lambda).
Strong experience with ESRI ArcGIS Enterprise, ArcGIS Monitor, ArcGIS Pro, ArcObjects, and Esri Workflow Manager (WFM).
Advanced proficiency in C# .NET Core/8, Python, RESTful APIs, and modern front-end frameworks (React/Next.js).
Hands-on experience with spatial data science and image processing libraries (OpenCV, RasterIO, PyTorch).
Azure or AWS Associate-level certification, or ISTQB Foundation certification (preferred).
OWASP certification is an advantage.