At a Glance
- Tasks: Design and evolve enterprise data architecture for a leading insurance brand.
- Company: Join a top global insurer investing in modern cloud architecture.
- Benefits: Up to £75,000 salary, 15% bonus, 10% pension, and hybrid work.
- Other info: Collaborative culture with opportunities for strategic influence and career growth.
- Why this job: Shape the future of data and tackle complex challenges in a dynamic environment.
- Qualifications: Experience as a Data Architect with strong skills in Databricks and Azure.
The predicted salary is between 70000 - 90000 £ per year.
We're partnering with a leading global insurer that's investing heavily in its enterprise data platform and modern cloud architecture. With a company-wide data transformation underway, this is a fantastic opportunity to play a key role in shaping the future of data across the business. This is a high-impact Data Architect position where you'll own the design and evolution of enterprise data architecture, helping build a modern Lakehouse platform on Databricks while driving best practice across data modelling, governance and integration.
If you enjoy solving complex data challenges, defining enterprise standards and influencing architecture at scale, this is a genuinely exciting opportunity.
The Role
You'll take ownership of enterprise-wide data architecture, working closely with Engineering, Business Analysis, Data and Solution Architecture teams to design scalable, secure and well-governed data solutions that support strategic decision making across the organisation.
Key Responsibilities
- Designing conceptual, logical and physical data models across enterprise systems
- Owning the end-to-end architecture of a Databricks Lakehouse platform
- Defining enterprise data architecture principles, standards and reusable patterns
- Designing modern data integration, storage and data sharing solutions
- Shaping future-state architecture and simplifying legacy data estates
- Defining governance, metadata, lineage, security and data quality standards
- Working closely with engineering and delivery teams to ensure architecture is implemented effectively
- Collaborating with business stakeholders to translate business requirements into scalable data solutions
- Supporting solution governance, architecture reviews and technical decision making
- Mentoring engineers and delivery teams on data architecture best practice
What We're Looking For
- Proven experience as a Data Architect within enterprise environments
- Strong experience designing modern cloud data platforms using Databricks and Azure
- Excellent data modelling skills (conceptual, logical and physical)
- Strong SQL, relational database and JSON knowledge
- Experience designing enterprise integration patterns and REST APIs
- Knowledge of metadata, lineage, governance and data quality frameworks
- Experience with architecture and modelling tools such as Erwin, Sparx EA or similar
- Strong stakeholder management skills with the ability to influence both business and technical teams
- Experience within Insurance or the Lloyd's Market would be highly beneficial
The Environment
- Engineering-led culture with significant investment in modern data platforms
- Enterprise Databricks Lakehouse architecture
- Collaborative cross-functional teams across Engineering, Data and Architecture
- Flexible hybrid working
- Opportunity to shape enterprise-wide data strategy and standards
- Modern cloud-native technology stack built around Azure and Databricks
This role would suit someone who enjoys thinking strategically, defining enterprise architecture and building scalable data platforms that enable better business decisions across a complex organisation.
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We think this is how you could land Data Architect in Manchester
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We think you need these skills to ace Data Architect in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
