Geospatial Data Architect
Duration: 4 Months
Location: Remote
Rate: £500 - £550 per day DOE
Status: OUTSIDE IR35
Clearance: Eligible for SC
Start Date: ASAP
Summary:
My market leading client are looking to secure the services of a Geospatial Data Architect to assist with critical project work over the coming months. Ideally coming from a strong consultancy background with public sector/GDS experience, consultants will require a strong understanding of designing and delivering data models and integrations architectures for geospatial and land data ecosystems. Any cloud based knowledge across Azure (preferred) / AWS would be a bonus.
Key Responsibilities:
* Develop conceptual, logical, and physical data models for geospatial and land data domains using EA Sparx for model design and documentation.
* Define data standards, attribute schemas, and metadata frameworks to ensure consistency across a common spatial framework.
* Design a data management solution that clearly distinguishes between current data pending verification and historical data, supporting both batch and streaming-based processes.
* Perform gap analysis between existing datasets and the requirements of the geospatial platform.
* Design and validate integration points, APIs, and interoperability standards between systems.
* Evaluate licensing, contractual, and ownership constraints affecting data reuse.
* Assess data governance, stewardship, and lifecycle management maturity, and recommend improvements.
* Support development of feedback and update workflows for reporting and correcting data inaccuracies.
* Ensure alignment with enterprise data architecture patterns, organisational data policies, and open data principles.
* Collaborate with cloud architects and technical stakeholders to design performant and secure data storage solutions.
* Produce documentation of the as-is and to-be data landscape, model definitions, and governance structures.
Essential Skills and Experience:
* Proven experience designing and implementing geospatial data architectures within government or large enterprise environments.
* Strong proficiency in EA Sparx for data modelling and documentation.
* Deep understanding of metadata, data lineage, and geospatial metadata standards (ISO 19115, INSPIRE, GEMINI), along with data governance frameworks.
* Knowledge of coordinate reference systems, topology, and geometry validation.
* Experience conducting data quality, completeness, and consistency assessments.
If you’d like more information on the assignment, please drop me an email Adam.Rees@IdentifySolutions.co.uk – or give me a call on 07400 28 3333.
Geospatial Data Architect