Azure Data Architect – Insurance

Required Skills

• Data Architect
• Azure
• London

Job Summary

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

Skills required

• 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

Nice To Have

• 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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