Data Architect - UW & PAS Modernisation

Data Architect - Specialty Insurance

Contract Length: 6 months (with a high likelihood of extension)

Location: London | Hybrid (2-3 days per week in the office)

Rate: £900 - £950 per day

IR35 Status: Inside IR35

We are supporting a leading Specialty Insurer on a major transformation programme and are seeking an experienced Data Architect to join the team on an initial 6-month contract. Working closely with Solution Architects and fellow Data Architects, you will play a key role in defining the target data architecture across multiple strategic initiatives, including Underwriting Modernisation and PAS replacement.

A significant part of the role will focus on developing conceptual and logical data models, ensuring alignment between business requirements and target-state architecture. You will also be responsible for driving analytics capabilities and designing scalable data patterns and pipelines within an Azure and Snowflake environment.

Key Responsibilities:

• Define and own conceptual and logical data models across key transformation initiatives
• Design scalable data patterns and pipelines to support analytical and operational workloads
• Work closely with Solution Architects, Data Architects, and engineering teams to ensure alignment between business requirements and target architecture
• Support the development of the enterprise data architecture across Azure and Snowflake platforms
• Drive data standards, best practice, and governance across the programme
• Collaborate with business and technical stakeholders across underwriting, operations, and technology teams

Key Requirements:

• Significant experience as a Data Architect within the London Market/Lloyd's insurance sector
• Experience supporting Underwriting Modernisation and PAS replacement/modernisations
• Strong experience with Azure and Snowflake platforms
• Proven experience delivering data architecture within large-scale transformation programmes
• Strong conceptual and logical data modelling skills
• Experience designing data patterns, pipelines, and analytics solutions

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