Data Architect

• Define and maintain the target data architecture for UK Risk Tech platforms and services.
• Design scalable, secure, and resilient data solutions across operational and analytical environments.
• Create conceptual, logical, and physical data models to support core business processes and technology platforms.
• Partner with business and technology stakeholders to translate requirements into practical and effective data architecture designs.
• Lead the design of data structures and integration patterns supporting placement, policy, claims, exposure, and risk analytics use cases.
• Establish standards for data ingestion, transformation, storage, lineage, metadata, and consumption.
• Support the evolution of modern data platforms, including cloud-based data lakes, warehouses, and event-driven data architectures.
• Design data solutions across both relational and NoSQL technologies, including MongoDB where appropriate.
• Ensure alignment with enterprise architecture, security, privacy, regulatory, and governance standards.
• Drive improvements in data quality, consistency, stewardship, and reuse across the UK Risk Tech estate.
• Provide architectural oversight for integration between internal systems, market platforms, and third-party data providers.
• Support architecture governance, design reviews, and technology roadmaps.
• Identify opportunities to simplify the data landscape, reduce duplication, and improve data accessibility and trust.

Technologies:

• AWS
• Architect
• Azure
• Cloud
• ETL
• GCP
• Support
• MongoDB
• NoSQL
• SQL
• Security, We are looking for an experienced Data Architect to define and deliver data architecture that supports key business capabilities across risk, placement, broking, analytics, and operational data domains. We combine strong data architecture expertise with proven UK London Market insurance domain experience, and our successful candidate will play a leading role in shaping data strategy, designing scalable and governed data solutions, and enabling trusted, accessible data across our technology landscape. This role works closely with business stakeholders, product teams, engineers, architects, and data governance teams to ensure our data architecture supports both current business priorities and long-term strategic objectives.

• Significant experience in data architecture, including enterprise-scale data solution design and data modeling.
• Proven experience within the UK insurance market, with strong London Market domain expertise.
• Strong understanding of London Market processes, participants, and data flows, including brokers, carriers, coverholders, and MGAs.
• Experience supporting data domains such as placement, policy, claims, exposure, bordereaux, and risk analytics.
• Strong knowledge of data integration patterns including ETL/ELT, APIs, event-driven architecture, and batch processing.
• Experience with modern cloud-based data platforms and distributed data architectures.
• Experience with both relational and non-relational data platforms, including exposure to MongoDB and document-based data models.
• Strong understanding of data governance, metadata, lineage, and data quality frameworks.
• Experience working across complex legacy and modern technology environments.
• Strong stakeholder management and communication skills, with the ability to engage effectively across business and technical teams.
• Data architecture and enterprise data design.
• Conceptual, logical, and physical data modeling.
• Data integration and interoperability.
• SQL and strong understanding of relational databases.
• Experience with NoSQL technologies, including MongoDB.
• Knowledge of document-based and operational data models.
• Data warehousing and/or data lake architecture.
• Metadata, lineage, and data governance.
• Cloud platforms such as Azure, AWS, or GCP.
• Strong analytical, problem-solving, and communication skills.
• Prior experience working in the UK insurance market, with strong London Market domain knowledge.
• Bachelors degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Relevant cloud, architecture, or data certifications are advantageous.
• Strong communicator who can work effectively with both technical and non-technical stakeholders.
• Pragmatic and delivery-focused, balancing strategic design with implementation needs.
• Collaborative and influential, with strong relationship-building skills.
• Organized, detail-oriented, and comfortable working in a complex environment.