Negotiable
Outside
Hybrid
London
Summary: The role of Data Architect - Insurance focuses on developing and implementing enterprise-wide data solutions for a leading organization enhancing its data and analytics capabilities. The position requires a strong background in insurance and expertise in Azure data platforms to transform complex data into valuable business assets. The architect will lead the design of scalable cloud-based platforms and ensure data governance and quality standards are met. This strategic role involves engaging with senior stakeholders and providing architectural leadership across various teams.
Key Responsibilities:
- 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
Key Skills:
- 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
- Experience leading enterprise-scale data transformation programmes
Salary (Rate): £600.00 Daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
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
- 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.