At a Glance
- Tasks: Lead data transformation projects and design innovative data architectures.
- Company: Remote-first insurance transformation company with a focus on innovation.
- Benefits: Competitive daily rate, flexible remote work, and opportunities for long-term engagement.
- Other info: Collaborative environment with opportunities to engage with diverse teams.
- Why this job: Make a significant impact in the insurance sector while working with cutting-edge cloud technologies.
- Qualifications: Strong experience in insurance, cloud platforms, and data engineering.
The predicted salary is between 46800 - 65000 € per year.
We have an urgent requirement for a contract Data Architect to lead a data transformation for a third-party administrator. The initial engagement is discovery into a long implementation. Strong insurance experience, ideally with bulk purchase annuities (BPA), is essential.
You’ll define the target data architecture and lead the technical design from legacy mainframe/COBOL sources into a cloud lakehouse (medallion) pattern. This is a hands-on, senior technical role collaborating with actuarial, product, engineering and platform teams to ensure the architecture supports regulatory reporting, client reporting and self-service portals.
Key responsibilities:- Lead discovery and design of a lakehouse/medallion data architecture that ingests and refactors mainframe/COBOL datasets
- Architect microservices-based integration patterns and APIs for data movement and portal access
- Translate actuarial and scheme data requirements into robust data models and pipelines
- Define data quality, reconciliation and control frameworks to support scheme adjustments and regulatory reporting
- Design deployment and CI/CD patterns for data pipelines across Dev/UAT/Prod environments
- Produce technical artefacts: data models, ingestion patterns, security controls, runbooks and migration plans
- Work with Product, Platform and Actuarial teams to ensure operational readiness and handover to run teams
- Strong insurance or pensions experience, ideally with bulk purchase annuities / scheme data familiarity
- Deep expertise in cloud data platforms, lakehouse/medallion architectures and data engineering patterns
- Proven experience migrating mainframe/COBOL data to modern cloud platforms and integrating via microservices/APIs
- Good understanding of actuarial data models and how they impact pricing, reporting and scheme adjustments
- Hands-on with data tooling (e.g., Databricks, Azure/AWS/GCP, Spark, SQL, Delta Lake) and CI/CD for data
- Strong stakeholder engagement skills and experience working across technical and non-technical teams
Data Architect in City of London employer: Loop Recruitment
As a leading player in the insurance transformation sector, we offer a dynamic and supportive work environment that prioritises employee growth and collaboration. Our remote-first approach allows for flexibility while still fostering strong connections through ad hoc London client visits, ensuring you can thrive both personally and professionally. With competitive rates and the opportunity to lead impactful data architecture projects, we empower our Data Architects to make meaningful contributions to the future of data transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data transformation sectors. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on a Data Architect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving cloud data platforms and mainframe migrations. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with microservices, APIs, and data quality frameworks. Practice common interview questions and think about how your background aligns with the job requirements.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that Data Architect gig!
We think you need these skills to ace Data Architect in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with insurance, pensions, and data transformation. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past work with cloud platforms and data architectures that relate to our needs.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with tools like Databricks, Azure, or AWS. We love seeing how you’ve tackled similar challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Loop Recruitment
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in lakehouse and medallion architectures. Be ready to discuss how you would approach migrating legacy mainframe/COBOL data to a cloud platform, as this is crucial for the role.
✨Showcase Your Insurance Experience
Highlight your experience with bulk purchase annuities and scheme data. Prepare examples of past projects where you’ve successfully navigated similar challenges, as this will demonstrate your relevance to the role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data models, pipelines, and CI/CD patterns. Brush up on your knowledge of tools like Databricks and cloud platforms, and be ready to explain your thought process clearly.
✨Engage with Stakeholders
Since this role involves collaboration across various teams, think of ways to illustrate your stakeholder engagement skills. Prepare anecdotes that showcase your ability to communicate complex technical concepts to non-technical audiences.
