At a Glance
- Tasks: Design and evolve enterprise data architecture on Databricks, ensuring effective data management.
- Company: Global insurance firm leading in the Lloyd's of London market.
- Benefits: Up to £85,000 salary, 15% bonus, health cover, and hybrid working.
- Other info: Join a collaborative team with excellent career growth opportunities.
- Why this job: Shape the future of data architecture and drive innovation in a dynamic environment.
- Qualifications: Strong experience with Databricks, SQL, and enterprise data modelling required.
The predicted salary is between 72000 - 88000 £ per year.
Our client is a global insurance firm, and one of the leading insurers in the Lloyd's of London market. Their data strategy is built around a single enterprise Lakehouse platform on Databricks - a deliberate move away from the fragmented, ungoverned silos on legacy technology that hamper creativity and scalability across most of the market.
As a Data Architect, you will own the end-to-end design and evolution of the enterprise data architecture - defining how data is stored, integrated, secured and managed across every solution in the estate. That includes full ownership of the Databricks Lakehouse platform architecture: data modelling, storage patterns, processing and integration approaches, data sharing patterns and governance guardrails. This is a practical, delivery-focused architecture role, not a governance-only one. You will be producing conceptual, logical and physical models, writing the source-to-target mappings and interface specifications that delivery teams build from, and working inside squads alongside business analysts, data analysts, developers and solution architects. Alongside shaping the future-state architecture and transition roadmap, you will drive real simplification - rationalising legacy data assets, duplicated capabilities and technical debt.
Key Responsibilities
- Own the end-to-end architecture of the enterprise Lakehouse platform on Databricks - data modelling, storage layers, processing patterns, integration approaches and data sharing standards.
- Define conceptual, logical and physical data models, information models and associated data dictionaries across enterprise and delivery-specific requirements.
- Define and evolve the future-state data architecture and transition roadmaps, simplifying the landscape through rationalisation of legacy assets, duplicated capabilities and technical debt.
- Set data architecture principles, guardrails, standards and reusable patterns, aligned to canonical business definitions and domain boundaries.
- Define and evolve insurance data models across underwriting, policy, claims, finance, actuarial and regulatory use cases.
- Define security, privacy and regulatory requirements - data classification, access control, retention, lineage, metadata and information quality controls.
- Own integration and data sharing standards, including source-to-target mappings and interface specifications such as JSON and REST APIs.
Skills & Experience
- Databricks is essential. Strong, hands-on experience designing data architectures on Databricks - Lakehouse modelling, storage layers, processing patterns and data sharing - is a firm requirement for this role.
- Strong enterprise data modelling across conceptual, logical and physical layers, for both analytical and operational use cases, with real examples of the artefacts produced.
- Strong knowledge of SQL, relational modelling and JSON, alongside broader Azure data platform experience.
- Experience defining architecture principles, reusable patterns and guardrails, rather than relying solely on tool-specific approaches.
- Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms.
- Data architecture in a regulated environment: security, privacy, access control and the regulatory demands that come with insurance data.
- Proven stakeholder management at all levels - able to influence senior business and technology stakeholders and get people into a room and come out with agreed definitions.
Key Technologies
- Databricks Lakehouse - storage layers, processing patterns, integration and data sharing
- Azure cloud data platform services
- SQL, relational modelling and JSON
- REST APIs and interface specification
- Erwin and Sparx EA
Desirable
- Prior data model and data management design within delivery projects for underwriting, policy administration or claims applications.
- Understanding of London or Lloyd's Market insurance conceptual data models and associated business data standards.
- Experience using enterprise architecture tooling such as Bizzdesign Horizzon.
Benefits
- 15% Bonus
- 10% Non-contributory pension
- Health (family) and dental cover
- Hybrid working
- Lots more!
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Locations
Data Architect in Cheshire, Warrington employer: Fruition Group
As a leading financial technology organisation, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With competitive salaries and flexible working arrangements, including 2-3 days onsite in London, we offer exceptional growth opportunities through engaging projects in capital markets and cutting-edge technologies. Join us to be part of a team that values your expertise and encourages you to make a meaningful impact in the financial services sector.
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