Data Architect
Role details
Job location
Tech stack
Job description
We're proud of our award-winning success-including Personal Lines Broker of the Year, MGA of the Year and Digital Initiative of the Year-reflecting our commitment to innovation and excellent service. Alongside continued growth, we're dedicated to making a positive impact, having planted more than 419,000 trees through our environmental partnership with Vavista. As a Data Architect at Somerset Bridge Group, you'll play a key role in shaping how data is designed, managed and used across the business. You'll set the architectural direction for our data estate - from the point data first lands on the platform, through the Bronze, Silver and Gold layers of our Medallion Architecture, and all the way to analytics, AI and self-service reporting. Working within the Microsoft Azure and Databricks ecosystem, you'll help build a data platform that's scalable, flexible and built to last. Your work will directly support high-impact use cases, including advanced analytics, pricing models, AI/ML solutions and regulatory reporting - ensuring teams across the business can trust and use data with confidence. You'll collaborate closely with colleagues in Data Engineering, Data Science, Pricing, Platform Engineering and MLOps, acting as a trusted partner and technical authority. Together, you'll define clear standards for how data is structured, governed and consumed, helping the organisation grow without unnecessary complexity or fragmentation. This is a great opportunity for someone who enjoys balancing strategic thinking with hands-on collaboration - influencing how data is used across the organisation as Somerset Bridge Group continues its journey towards its Top 5 in 5 ambition.
What you'll be responsible for:
Data Architecture & Modelling
- Define and own the architectural principles, standards and policies governing SBG's data estate from the landing zone through to the Gold layer.
- Design and govern the Medallion Architecture (Bronze / Silver / Gold), ensuring every layer is built for analytics, AI/ML and self-service consumption.
- Own data modelling standards - conceptual, logical and physical - and ensure models are fit for both regulatory reporting and AI-driven insight.
- Define Unity Catalog structure, metadata standards and data lineage governance across the estate.
Data Ingestion & Processing
- Define ingestion standards and data contracts for data arriving from the landing zone into the Bronze layer, working in partnership with the Development and Application Management team.
- Design and optimise ETL/ELT pipeline frameworks using Databricks, Delta Lake and Azure Data Factory. * Ensure Silver and Gold layer data products are fit for purpose for analytics, pricing, AI and ML model consumption.
- Optimise data pipelines for efficiency, cost-effectiveness and high performance, leveraging Databricks for big data processing and machine learning.
Governance & Standards
- Act as the architectural authority for the data estate - reviewing designs, enforcing standards and preventing platform fragmentation as SBG scales.
- Ensure all data architecture decisions align with regulatory requirements - FCA, GDPR, Solvency II, IFRS 17 and BCBS 239.
- Define and maintain data architecture policies and guidelines ensuring long-term scalability and sustainability.
Analytics & AI Enablement
- Design the Gold layer to ensure data products are structured, documented and accessible for self-service analytics and AI/ML model consumption.
- Collaborate with ML Ops and Data Science teams to define data product standards and feature engineering patterns.
- Evaluate and lead adoption of emerging Azure and Databricks capabilities - including Microsoft Fabric, OneLake and DirectLake - where they advance the data architecture.
- Drive innovation by evaluating and implementing emerging cloud-based data technologies to enhance SBG's competitive advantage.
Risk & Regulatory
- Proactively identify, manage and mitigate architectural and data risks encountered in day-to-day delivery.
- Act with integrity, adhering to FCA regulatory frameworks and ensuring best possible outcomes for customers.
Requirements
- Strong stakeholder management across business, IT and compliance teams.
- Excellent communication, collaboration and influencing skills at all levels of an organisation.
- Experience leading data architecture and engineering teams in an enterprise environment.
- Ability to define and implement a data strategy aligned with business objectives.
- Proven track record of delivering enterprise-scale data solutions with a focus on performance, security and scalability.
- Experience in regulated financial services, ensuring compliance with industry standards.
- Deep expertise in data modelling - conceptual, logical and physical.
- Data warehousing and data lake architecture for high-performance analytics.
- ETL/ELT pipeline development and optimisation to support large-scale data processing.
- Data integration across structured and unstructured sources, ensuring high availability.
- Metadata management and governance to maintain data quality and lineage.
- Experience defining data contracts and ingestion standards between source delivery teams and the data estate.
- Deep expertise in Microsoft Azure cloud services - ADF, ADLS, Synapse, Purview.
- Databricks - Delta Lake architecture, optimisation and advanced data processing.
- Apache Spark for large-scale distributed computing and performance tuning.
- Microsoft Fabric - OneLake and DirectLake integration.
- Azure Synapse Analytics for enterprise-scale data warehousing.
- Infrastructure-as-Code (Terraform or Azure Bicep) to automate cloud deployments.
- CI/CD pipelines with Azure DevOps or GitHub Actions for automated deployment of data pipelines.
- MLOps best practices - MLflow, Databricks Model Serving, Feature Store.
- Knowledge of IFRS 17, BCBS 239, UK Data Protection Act and Solvency II compliance.
- Experience with pricing models, claims processing and fraud detection in the insurance sector.
- Strong problem-solving skills and ability to translate business needs into technical solutions.
- Ability to document and present complex data architectures to technical and non-technical stakeholders
Benefits & conditions
- Hybrid working - 2 days in the office and 3 days working from home
- 25 days annual leave, rising to 27 days over 2 years' service and 30 days after 5 years' service. Plus bank holidays!
- Discretionary annual bonus
- Pension scheme - 5% employee, 6% employer
- Flexible working - we will always consider applications for those who require less than the advertised hours
- Flexi-time
- Healthcare Cash Plan - claim cashback on a variety of everyday healthcare costs
- Electric vehicle - salary sacrifice scheme
- 100's of exclusive retailer discounts
- Professional wellbeing, health & fitness app - Wrkit
- Enhanced parental leave, including time off for IVF appointments
- Religious bank holidays - if you don't celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year.
- Life Assurance - 4 times your salary
- 25% Car Insurance Discount
- 20% Travel Insurance Discount
- Cycle to Work Scheme
- Employee Referral Scheme
- Community support day