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 continuous learning.
- Why this job: Shape the future of data in insurance and drive impactful change with your expertise.
- Qualifications: 10+ years in data architecture, strong Azure skills, and insurance domain knowledge required.
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
- Data Architecture & Design
- Define and design end-to-end enterprise data architecture for Insurance use cases.
- Develop conceptual, logical, and physical data models aligned to business needs.
- Architect modern data platforms including: Data Lake / Lakehouse, Data Warehouse, Real-time & batch data processing systems.
- Establish data integration patterns, ETL/ELT frameworks, and data pipelines.
- Azure Data Platform Leadership
- Design and implement solutions using Microsoft Azure Data Services, including: Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure Databricks, Power BI.
- Ensure architecture adheres to cloud best practices for scalability, security, performance, and cost optimization.
- Define reference architectures and reusable frameworks.
- Data Strategy & Governance
- 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 (e.g., IFRS 17, Solvency II, GDPR).
- Insurance Domain Alignment
- Translate Insurance business requirements into data models and technology solutions.
- Work closely with domain teams across: Underwriting, Claims, Policy Administration, Actuarial & Finance.
- Build reusable Insurance data models, canonical models, and accelerators.
- Solutioning & Technical Leadership
- 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.
- Stakeholder Collaboration
- 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
- Expertise in Azure Data Platform, including: ADF, Synapse, ADLS, Databricks, Power BI or equivalent BI tools.
- Strong understanding of: Data Warehousing, Lakehouse architecture, ETL/ELT design patterns, Data modeling (Kimball, Inmon, Data Vault), API-based and event-driven data integration.
- Familiarity with: Data governance tools and frameworks, Security (RBAC, data masking, encryption).
Domain Expertise (Insurance)
- 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
- Azure certifications (Azure Data Engineer / Azure Solutions Architect).
- Experience with real-time streaming (e.g., Kafka, Event Hubs).
- Exposure to AI/ML and advanced analytics platforms.
- Experience in cloud migration and legacy data platform modernization.
Key Competencies
- 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) in London employer: CodeAnalytiqa Consultancy and Services
Join a forward-thinking company that values innovation and collaboration, where as a Data Architect in the Insurance sector, you will play a pivotal role in shaping data strategies on the cutting-edge Azure Data Platform. Our inclusive work culture fosters continuous learning and professional growth, offering you the chance to lead transformative projects while enjoying competitive benefits and a supportive environment in a vibrant location. Embrace the opportunity to make a meaningful impact in the insurance industry with us.
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) in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to data architecture and insurance. You never know who might have a lead on your dream job!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Azure Data Platform and your understanding of the insurance domain. Share specific examples of how you've designed scalable data architectures in the past.
✨Tailor Your Approach
Before any interview, do your homework! Research the company’s data initiatives and think about how your skills can help them achieve their goals. This shows you're genuinely interested and ready to contribute.
✨Apply Through Us!
Don’t forget to check out our website for job openings! Applying through StudySmarter not only gives you access to great opportunities but also connects you with a community that values your expertise in data architecture.
We think you need these skills to ace Data Architect – Insurance (Azure Data Platform) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Architect role. Highlight your experience with Azure Data Platform and the Insurance domain, showcasing relevant projects that demonstrate your skills in data architecture and design.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention specific technologies like Azure Data Factory and Synapse Analytics that you’ve worked with.
Showcase Your Technical Skills:In your application, be sure to list your technical skills clearly. We want to see your expertise in data modelling, ETL/ELT frameworks, and any relevant certifications. This helps us understand your fit for the role at a glance!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, we love seeing applications come directly from our site!
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 Azure Data Factory, Synapse Analytics, and Databricks. Prepare examples of how you've used these tools in past projects, especially in the context of the insurance domain.
✨Showcase Your Data Architecture Skills
Be prepared to talk about your experience designing scalable data architectures. Think about how you've defined end-to-end enterprise data architecture and developed data models. Bring examples that highlight your ability to align technical solutions with business needs, particularly in insurance.
✨Understand the Insurance Landscape
Familiarise yourself with key insurance concepts such as underwriting, claims processing, and policy administration. Be ready to translate these business requirements into data models and technology solutions. This will show your potential employer that you can bridge the gap between data architecture and the insurance industry.
✨Prepare for Stakeholder Collaboration
Expect questions about how you collaborate with various stakeholders. Think of examples where you've worked closely with business teams or presented architectural solutions to senior leadership. Highlight your communication skills and ability to act as a trusted advisor in data transformation initiatives.
