2 of 2 Data Validation Jobs in Wokingham

platform. This platform will support strategic spatial energy planning, environmental impact assessments, economic modelling, and community engagement. The Architect will play a pivotal role in consolidating Legacy systems, ensuring data quality, and enabling advanced geospatial analytics. Key Responsibilities GIS Platform Architecture & Design Lead the end-to-end design of a scalable GIS platform aligned with project strategic goals Define … Design and provision Azure-based environments (Sandbox, Dev, UAT, Production) Ensure high availability, scalability, and security of cloud infrastructure Integrate with peripheral systems to support end-to-end workflows Data Migration & Legacy System Integration Lead migration and replication of spatial datasets and functionalities from Legacy GIS platforms (eg, Intergraph, Smallworld) Ensure continuity of historical insights and data integrity … Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualisation tools Support decision-making and public engagement through intuitive dashboards and maps Stakeholder Engagement & Use Case More ❯

platform. This platform will support strategic spatial energy planning, environmental impact assessments, economic modelling, and community engagement. The architect will play a pivotal role in consolidating Legacy systems, ensuring data quality, and enabling advanced geospatial analytics. Key Responsibilities: 1. GIS Platform Architecture & Design Lead the end-to-end design of a scalable GIS platform aligned with project strategic goals. … provision Azure-based environments (Sandbox, Dev, UAT, Production). Ensure high availability, scalability, and security of cloud infrastructure. Integrate with peripheral systems to support end-to-end workflows. 3. Data Migration & Legacy System Integration Lead migration and replication of spatial datasets and functionalities from Legacy GIS platforms (eg, Intergraph, Smallworld). Ensure continuity of historical insights and data integrity. 4. Data Governance & Quality Establish data stewardship processes and governance frameworks. Implement metadata standards, symbology conventions, and data validation mechanisms. Leverage automation and AI/ML for data quality improvement. 5. Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualization tools. Support decision-making and public engagement through intuitive dashboards and maps. More ❯