Data Architect

SR2 REC LTD; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

SR2 Consulting is seeking a hands-on Data Architect to shape how data is integrated, governed and made available for analytics and AI readiness within an insurance transformation programme.

The role requires translating business needs into practical AWS architecture, engaging with business stakeholders and engineers to deliver scalable data solutions and secure data access across systems.

Qualifications

• Must be experienced in designing and delivering AWS data solutions in insurance.
• Experience with Guidewire data or integration landscape is a strong advantage.
• Strong understanding of insurance data movement between systems and consumers.
• Evidence of hands-on implementation review and issue resolution.
• Ability to select appropriate AWS services for storage, processing, and orchestration.
• Ability to balance security, resilience, cost, and maintainability.

Responsibilities

• Assess the existing data landscape including source systems, integration dependencies and data quality gaps.
• Define a target architecture and migration path aligned with immediate priorities and AI adoption.
• Design patterns for ingesting, transforming and serving data across insurance apps and AWS services.
• Collaborate with engineers on data models, interfaces, pipelines and implementation choices.
• Establish governance around ownership, metadata, lineage and data quality.
• Consider how AI and agentic applications can access context securely.
• Explain architectural choices and trade-offs clearly to technical teams and stakeholders.

Skills

Data architecture

AWS

Insurance domain knowledge

Guidewire experience

Data governance

Data integration

Security & cost awareness

Tools

Guidewire

AWS services

Job description

Hands-on Data Architect | AWS | Insurance & AI Readiness

Build the data foundations that make enterprise AI possible.

SR2 Consulting is looking for a hands-on Data Architect to support an insurance transformation programme, shaping how data is integrated, governed and made available for operational use, analytics and future AI capabilities.

This suits an architect who can move between business conversations, technical design and detailed work with engineers. You'll understand what insurance teams need from their data and how to translate that into a practical AWS architecture.

The work

• Assess the existing data landscape, including source systems, integration dependencies and gaps in data quality.
• Define a target architecture and a realistic migration path that supports immediate business priorities and longer-term AI adoption.
• Design patterns for ingesting, transforming and serving data across insurance applications and AWS services.
• Work with engineers on data models, interfaces, pipelines and implementation decisions.
• Establish appropriate approaches to ownership, metadata, lineage, access and data quality.
• Consider how future AI and agentic applications can securely access reliable business context.
• Explain architectural choices and trade-offs clearly to technical teams and business stakeholders.

What we're looking for

• Practical experience designing and delivering AWS data solutions within insurance.
• Any experience of integrating or working with Guidewire.
• Strong understanding of insurance data and its movement between operational systems, reporting platforms and downstream consumers.
• Evidence of remaining close to implementation, including reviewing designs, interrogating data and resolving integration challenges.
• Experience selecting appropriate AWS services for storage, processing, orchestration and access. Your architectural judgement matters more than having used every service.
• Confidence balancing security, resilience, cost and maintainability.
• The ability to turn an ambitious target state into achievable delivery steps.

Particularly useful

Experience with Guidewire and its data or integration landscape would be a strong advantage. Exposure to data platforms supporting AI, retrieval or agentic workflows would also be valuable.