Solution Data Architect

Overview

In this role you will design robust, scalable data architectures aligned to enterprise standards and act as the data architecture lead across projects. You’ll work with enterprise architects, the Chief Data Office, and stakeholders to shape data models, governance, and integration patterns. The position supports data exchange across strategic systems and embeds Data Protection by Design. It offers a pathway to influence data architecture practices within a transforming insurance business.

Pay / Benefits

• Annual discretionary bonus
• Pension contributions up to 11%
• Hybrid working + flexible hours
• 25 days annual leave + bank holidays + buy/sell options
• Health & wellbeing support + virtual GP
• Career development and mentoring

Responsibilities

• Design and deliver solution data architectures aligned to enterprise standards
• Develop and maintain data models, dictionaries and integration designs
• Support canonical data exchange across strategic systems
• Serve as project-level data architecture lead and provide guidance to stakeholders
• Embed data governance and Data Protection by Design principles
• Contribute to continuous improvement of data architecture practices and patterns

Key requirements

• Advanced data modelling and architectural design skills
• Hands-on experience with data modelling tools (Erwin beneficial)
• Strong understanding of data integration patterns, middleware and databases
• Knowledge of data protection, governance frameworks and secure design practices
• Familiarity with Microsoft Purview or other data catalogue platforms
• Experience with master and reference data management tools (e.g., Ataccama, Profisee – desirable)
• Working knowledge of Microsoft Azure ecosystem (Databricks, Power BI)
• Excellent communication, stakeholder management and influencing skills
• Experience delivering solution-level data architecture across complex projects
• Experience producing data impact assessments and reusable design patterns
• Communication
• Stakeholder management
• Influencing skills
• Data modelling
• Erwin (desirable)
• Data integration patterns

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