At a Glance
- Tasks: Design and implement cutting-edge data architectures for the insurance sector using Microsoft Azure.
- Company: Join a leading insurance firm focused on digital transformation and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career advancement and mentorship.
- Why this job: Make a real impact in the insurance industry with your data expertise.
- Qualifications: 10+ years in Data Architecture, strong insurance domain knowledge, and Azure experience.
The predicted salary is between 80000 - 100000 £ per year.
We are looking for a highly skilled Data Architect with deep expertise in the Insurance domain and strong experience in Microsoft Azure Data Platform. The role involves designing scalable, secure, and high-performance data architectures to support enterprise data initiatives, analytics, and digital transformation programs.
Key Responsibilities
- Define and design end-to-end enterprise data architecture for Insurance use cases.
- Develop conceptual, logical, and physical data models aligned to business needs.
- Establish data integration patterns, ETL/ELT frameworks, and data pipelines.
- Design and implement solutions using Microsoft Azure Data Services, including Power BI.
- Ensure architecture adheres to cloud best practices for scalability, security, performance, and cost optimization.
- Define reference architectures and reusable frameworks.
- Collaborate with stakeholders to define enterprise data strategy and roadmap.
- Establish and enforce data governance, data quality, and metadata management frameworks.
- Ensure compliance with industry regulations (IFRS 17, Solvency II, GDPR).
- Translate Insurance business requirements into data models and technology solutions.
- Work closely with domain teams across Claims, Policy Administration, Actuarial & Finance.
- Build reusable Insurance data models, canonical models, and accelerators.
- Provide technical leadership across data engineering and analytics teams.
- Review and guide implementation teams to ensure alignment with architecture.
- Conduct architecture reviews, design validations, and performance optimizations.
- Evaluate and recommend tools, technologies, and frameworks.
- Work closely with business stakeholders, program managers, and engineering teams.
- Present architectural solutions to senior leadership and clients.
- Act as a trusted advisor for data transformation initiatives.
Required Qualifications
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field.
- 10–15+ years of experience, with at least 5+ years in Data Architecture roles.
- Strong experience in the Insurance domain (Life/P&C/Reinsurance).
Technical Skills
- ADF, Synapse, ADLS, Databricks, Power BI or equivalent BI tools.
- Strong understanding of Data Warehousing, Lakehouse architecture, API-based and event-driven data integration.
- Familiarity with data governance tools and frameworks, security (RBAC, data masking, encryption).
- Strong understanding of end-to-end policy lifecycle, claims processing and underwriting systems, actuarial data flows and financial reporting.
- Experience working with insurance data ecosystems and legacy modernization.
Preferred Skills
- Experience with real-time streaming (Kafka, Event Hubs).
- Exposure to AI/ML and advanced analytics platforms.
- Experience in cloud migration and legacy data platform modernization.
- Strong analytical and architectural thinking.
- Problem-solving and decision-making.
- Excellent communication and stakeholder management.
- Ability to simplify complex technical concepts.
- Leadership and mentoring capabilities.
Success Criteria
- Scalable and future-ready data architecture implementations.
- High data quality, governance, and performance standards.
- Alignment of data architecture with business and regulatory needs.
- Successful enablement of analytics and data-driven decision-making.
Data Architect – Insurance (Azure Data Platform) employer: CodeAnalytiqa Consultancy and Services
Join a forward-thinking company that values innovation and expertise in the Insurance sector, offering a collaborative work culture where your contributions as a Data Architect will directly impact enterprise data initiatives. With a strong focus on employee growth, we provide opportunities for continuous learning and professional development, alongside competitive benefits that support work-life balance. Located in a vibrant area, our team enjoys a dynamic environment that fosters creativity and teamwork, making it an excellent place to build a rewarding career.
Contact Details:
CodeAnalytiqa Consultancy and Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect – Insurance (Azure Data Platform)
✨Network Like a Pro
Get out there and connect with folks in the insurance and data architecture space. Attend industry meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Azure Data Services and your understanding of the insurance domain. Share specific examples of how you've designed scalable data architectures that align with business needs.
✨Tailor Your Approach
Every company is different, so do your homework! Research the companies you're interested in and tailor your conversations to show how your skills can solve their specific challenges in data architecture and governance.
✨Apply Through Our Website
Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of getting noticed by our hiring team.
We think you need these skills to ace Data Architect – Insurance (Azure Data Platform)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience in the Insurance domain and your expertise with Microsoft Azure Data Platform. We want to see how your skills align with our needs!
Showcase Your Projects:Include specific projects where you've designed data architectures or implemented data solutions. We love seeing real-world examples of your work, especially if they relate to insurance use cases or cloud best practices.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share your passion for data architecture and how you can contribute to our team at StudySmarter. Make it personal and engaging!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at CodeAnalytiqa Consultancy and Services
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of the Microsoft Azure Data Platform. Be ready to discuss specific services like ADF, Synapse, and Databricks, and how they can be applied in the Insurance domain. Prepare examples of how you've used these tools in past projects.
✨Understand the Insurance Landscape
Familiarise yourself with key concepts in the Insurance sector, such as claims processing, policy administration, and regulatory requirements like IFRS 17 and GDPR. Being able to translate business needs into data models will show that you understand the industry and can provide valuable insights.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and decision-making abilities, especially in relation to designing scalable and secure data architectures. Real-world examples will make your answers more impactful.
✨Engage with Stakeholders
Demonstrate your communication skills by discussing how you've collaborated with various stakeholders in the past. Be ready to explain how you present architectural solutions to senior leadership and act as a trusted advisor. This will show that you can bridge the gap between technical and non-technical teams.
