Geospatial Data Architect

Geospatial Data ArchitectMake sure to apply with all the requested information, as laid out in the job overview below.

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