Data Solution Architect

Data Solution Architect

Temporary 72000 - 88000 £ / year (est.) Hybrid
T

At a Glance

  • Tasks: Design and develop data architecture solutions for a major reinsurance transformation.
  • Company: Leading London Market insurer with a focus on innovation.
  • Benefits: Hybrid work model, competitive pay, and the chance to shape technology direction.
  • Other info: Opportunity for significant career growth in a dynamic environment.
  • Why this job: Join a high-profile project and influence key technical decisions from the start.
  • Qualifications: Experience as a Data Solution Architect with strong Azure and Databricks knowledge.

The predicted salary is between 72000 - 88000 £ per year.

A leading London Market insurer is looking for an experienced Data Solution Architect to join a major reinsurance technology transformation programme. The role is an initial 12-month contract, Outside IR35. It is hybrid, with approx 2-3 days per week onsite in London. The business is currently in the discovery phase of a significant CenataSure implementation, focused on ceded reinsurance. The successful candidate will play a key role in shaping the data architecture, integration strategy and overall technical solution, working across technologies including Azure, Databricks and Subscribe. You’ll work closely with senior architecture leadership and a small project delivery team, with the opportunity to influence key technical decisions from an early stage.

What You'll Be Doing

  • Designing and developing data architecture solutions to support a major ceded reinsurance implementation
  • Supporting the integration of CenataSure with existing data platforms and business systems
  • Designing scalable data solutions across Azure and Databricks
  • Defining data integration patterns, data flows and solution architecture
  • Working with business analysts, project stakeholders and external technology vendors throughout discovery and delivery
  • Translating complex reinsurance business requirements into robust technical designs
  • Providing architectural guidance around data migration, transformation and integration
  • Ensuring solutions align with wider enterprise architecture standards and strategic objectives

What We're Looking For

  • Strong experience as a Data Solution Architect or Data Architect, delivering complex data transformation programmes
  • Excellent knowledge of Azure and Databricks within enterprise data environments
  • Previous experience within reinsurance, ideally ceded/outwards reinsurance or the Lloyd's/London Market
  • Strong understanding of data integration, data modelling and solution architecture
  • Experience designing data solutions involving multiple platforms and complex system integrations
  • Proven experience working across discovery, solution design and implementation
  • Strong stakeholder management skills, including experience working with external technology vendors

Desirable

  • Previous experience with CenataSure or similar reinsurance platforms
  • Experience integrating Subscribe with wider data platforms
  • Knowledge of reinsurance data processes, including premiums, claims, recoveries and treaty arrangements
  • Exposure to AI, automation or emerging data technologies
  • Experience working on large-scale insurance platform implementations

This is an excellent opportunity to join a high-profile reinsurance transformation at an early stage, with significant scope to influence the architecture and technical direction of the programme. To be considered for this opportunity you MUST have recent experience with either CenataSure or working within Ceded Reinsurance environments.

Data Solution Architect employer: The Actuary

As a leading player in the life insurance sector, our company offers an exceptional work environment that fosters professional growth and innovation. With a strong emphasis on collaboration and employee development, we provide comprehensive training programs and opportunities for advancement, ensuring that our team members thrive in their careers. Located in a vibrant city, we also promote a healthy work-life balance, making us an attractive employer for those seeking meaningful and rewarding employment.

T

Contact Details:

The Actuary Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Solution Architect

✨Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like The Actuary before they're even advertised!

✨Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

✨Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like The Actuary.

✨Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like The Actuary.

We think you need these skills to ace Data Solution Architect

Data Architecture
Azure
Databricks
CenataSure
Data Integration
Data Modelling
Solution Architecture

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at The Actuary, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to The Actuary, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab The Actuary’s attention and show the tangible impact of your work.

How to prepare for a job interview at The Actuary

✨Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at The Actuary.

✨Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

✨Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at The Actuary.

✨Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at The Actuary.