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# Data Architect

- **Company:** Hunter Selection
- **Location:** Gloucester, UK
- **Salary:** £80,000.0 - £88,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing Security, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Machine Learning, Enterprise Data Management, Azure Data Factory, System Availability, Data Lakes, Data Management, Databricks
- **Published:** May 24, 2026
- **Apply:** https://find.jobs/jobs-near-me/data-architect-bristol-gloucestershire/2783673523-2/

## About the Role

* Proven background designing and delivering enterprise-scale data platforms
 * Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing
 * Advanced data modelling and ETL/ELT optimisation experience
 * Familiarity with regulatory frameworks such as IFRS 17, BCBS 239, and UK Data Protection
 * Excellent stakeholder communication and cross-functional collaboration skills
 * Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable
 * Microsoft Certified: Azure Solutions Architect Expert
 * Microsoft Certified: Azure Data Engineer Associate
 * Databricks Certified Data Engineer or Machine Learning Associate

## Description

I'm seeking an experienced Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud-first data strategy. You'll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long-term business value. You will lead the design of a high-performance data estate, built primarily on Microsoft Azure and Databricks, * Design and implement scalable, secure cloud-based data architecture (Azure & Databricks)

 * Develop optimised data models and pipelines using Delta Lake and Azure services
 * Define data standards, policies, and governance practices aligned with compliance
 * Enable real-time analytics and machine learning use cases across business functions
 * Ensure data integration across structured/unstructured sources with high availability
 * Lead innovation and adopt best practices in data engineering and architecture
 * Collaborate with internal stakeholders and third-party vendors


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