DATA ARCHITECT

Consult; Greater London; Hybrid; GBP 148,000 - 166,000; Full time

Job summary

SR2 Consulting is seeking a hands-on Data Architect to support an insurance transformation programme in London. The role focuses on designing and delivering AWS data solutions, data governance, and enabling AI readiness across enterprise systems.

You will move between business conversations, technical design and detailed engineering work, translating insurance data needs into practical AWS architecture and data models.

Qualifications

• Practical experience designing AWS data solutions in insurance.
• Experience with Guidewire data or integration.
• Ability to translate business needs into AWS architecture and data models.

Responsibilities

• Assess existing data landscape and gaps.
• Define target architecture and migration path.
• Design patterns for ingesting, transforming and serving data.
• Collaborate with engineers on data models and pipelines.
• Establish data ownership, metadata, lineage and quality approaches.
• Consider AI/app access to data securely.
• Explain architectural choices to technical teams and business stakeholders.

Skills

AWS data architecture

Guidewire experience

Insurance data domain

Data integration

Data governance

Stakeholder communication

Tools

Guidewire

AWS services

Job description

On Site : 1

Contract Rate : 800

Contract Job : 1

Hybrid : 1

Salary range high : 900

Salary range low : 800

Data Architect

• London
• Hybrid
• Contract
• Consulting
• GBP800 - 900 per day
• Posted 3 hours ago

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.