Data Architect

Data Architect / Data Modeller 📅 Start: 14 September 2026 🔐 Clearance: SC Cleared ☁️ Environment: AWS, Snowflake, ESRI / GIS The Role We’re looking for an experienced Data Architect / Data Modeller to support the design and delivery of a new geospatial data platform within a large-scale public sector environment. The initial focus will be on delivering a production-grade prototype that brings together multiple data sources into a transformed data layer and common data model, creating the foundations for future applications and wider adoption. This is a hands-on role, ideal for someone who can comfortably work across data architecture, data modelling and data engineering. Key Responsibilities • Lead data architecture and modelling activity through Discovery & Design • Develop conceptual, logical and physical data models • Understand data sources, structures, relationships and data flows • Work closely with Data Engineers to translate models into implemented solutions • Define data structures and modelling approaches across Snowflake and AWS • Work with complex geospatial/GIS data, including vector, raster and imagery data • Define source-to-target mappings and transformation requirements • Establish approaches to data lineage, quality, metadata and governance • Identify data dependencies, constraints and legacy data challenges • Collaborate with Architects, Data Engineers, GIS/ESRI specialists, BAs and Product teams • Ensure the prototype has a clear path towards a scalable, production-grade platform Essential Experience • Strong background as a Data Architect, Data Modeller or Data Architect/Modeller • Strong experience with logical and physical data modelling • Modern data architecture and data platform design • Snowflake • AWS • Data ingestion, transformation and integration patterns • Data lineage, data quality, metadata and governance • Ability to work closely with engineering teams and get into the detail • Experience working in Agile, multidisciplinary teams • Comfortable working in environments where requirements and data sources are still being discovered Desirable • Geospatial / GIS data experience • ESRI / ArcGIS • Experience modernising or integrating complex legacy datasets • Data lake, lakehouse or modern analytical data platforms • Production-grade data engineering and transformation frameworks The Ideal Profile We’re particularly interested in someone who can bridge data architecture, modelling and engineering, rather than operating purely at a high-level architecture level. You’ll need to be comfortable getting into the detail of the data, working alongside engineers and GIS specialists, and making pragmatic decisions that allow the team to move quickly while building something that can scale. If you have strong Data Architecture/Data Modelling experience across AWS and Snowflake and are interested in working on a complex geospatial data platform, please get in touch.