Azure Data Architect - Insurance
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-06-02
Listing for:
Virtual Hire Staffing
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Required Skills
- Data Architect
- Azure
- London
Data Architect – Insurance (Azure Data Platform)
We're working with a leading organisation investing heavily in its data and analytics capabilities, and they're looking for an experienced Data Architect with a strong Insurance background to help shape the next generation of their Azure data platform.
This is a strategic architecture role where you'll define enterprise-wide data solutions, build scalable cloud-based platforms and help turn complex insurance data into a genuine business asset.
Day to Day- Design end-to-end data architecture across underwriting, claims, policy administration, actuarial and finance functions
- Define data models, integration frameworks and enterprise data standards
- Lead the architecture of modern Azure-based data platforms, including Data Lake, Lakehouse and Data Warehouse environments
- Drive the design of scalable data pipelines, ETL/ELT frameworks and integration patterns
- Establish governance, data quality and security standards across the platform
- Support cloud migration and legacy modernisation initiatives
- Provide architectural leadership to engineering, analytics and business teams
- Engage senior stakeholders and act as a trusted advisor on data transformation programmes
- Proven experience in Data Architecture within the Insurance sector
- Strong knowledge of Life, General Insurance or Reinsurance data environments
- Deep expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks
- Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms
- Experience with Kimball, Inmon or Data Vault modelling approaches
- Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II
- Strong stakeholder management and communication skills
- Experience leading enterprise-scale data transformation programmes
- Azure certifications
- Experience with Kafka or Event Hubs
- Exposure to AI, ML or advanced analytics platforms
- Cloud migration and legacy platform modernisation experience
This is an opportunity to play a key role in a major data transformation programme, influencing architecture decisions that will support analytics, reporting and business growth for years to come.
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