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 Slough 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 Slough
✨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
Create a portfolio showcasing your projects, especially those involving Azure Data Platform and insurance data models. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of Azure services like ADF and Synapse. Be ready to discuss how you've tackled real-world problems in data architecture, especially in the insurance sector.
✨Apply Through Us!
Don’t forget to check out our website for job openings! Applying directly through us not only shows your interest but also gives you a better chance of landing that role you’ve been eyeing.
We think you need these skills to ace Data Architect – Insurance (Azure Data Platform) in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Azure Data Platform and the Insurance domain. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture in the insurance sector and how you can contribute to our team at StudySmarter.
Showcase Relevant Projects:Include specific projects or achievements that demonstrate your expertise in designing scalable data architectures. We love seeing real-world examples of your work, especially those involving Azure services!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
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.
