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Senior Data Architect

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Senior Data Architect (excellent future career prospects)
Remote/UK Based | to £100,000
About the Company
Our client is an ambitious and exciting startup Insurtech business transforming the Specialty Insurance market through innovative Policy Administration technology. Having achieved impressive early commercial success and secured strong financial backing, they're now entering an exciting phase of expansion - and are looking for an experienced Data Architect to help shape the foundations of their next-generation data platform. There is an excellent potential career growth for the right candidate through to become Head of Data.
The Role
This is a rare opportunity to build a modern data architecture from the ground up, at a business where data isn't an afterthought - it's core to the product. You'll be designing and delivering a platform that supports underwriting, algorithms, product, and AI use cases, working at the intersection of Product, Data, Engineering, and Algorithm teams to define shared data models and bridge gaps between disciplines. This isn't a traditional BI, MI, or reporting-focused position. We're looking for someone who thinks in terms of semantic modelling, domain-driven design, and scalable, modern data ecosystems - not warehouse-centric architecture built purely for dashboards.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- This will initially be a hands-on role, designing and delivering a next-generation data platform that underpins underwriting, algorithmic, product and AI capabilities
- Applying strong semantic modelling and modern data architecture principles across the business
- Working cross-functionally across Product, Data, Engineering, and Algorithm teams to define shared, coherent data models
- Championing non-traditional and domain-driven data modelling approaches over purely warehouse-centric solutions
- Establishing scalable data architecture and platform foundations at pace, in a fast-moving environment
- Providing hands-on architectural leadership using modern cloud and data ecosystem tooling


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What We're Looking For
- Strong experience in semantic modelling and modern data architecture in Insurance - beyond traditional BI, MI, and reporting
- Specific Lloyd's market experience is a plus, but not essential - we're prioritising platform and architecture capability over sector-specific reporting expertise. Personal lines could also be a great background.
- Demonstrable ability to design and build data platforms supporting complex, multi-use-case environments (underwriting, algorithms, product, AI)
- Experience collaborating across Product, Data, Engineering, and Algorithm functions
- Accomplished in Azure / MS Fabric
- Solid grounding in domain-driven and non-traditional data modelling approaches
- A track record of moving fast and establishing scalable data platforms from scratch
- Hands-on expertise with modern cloud and data tooling, paired with genuine architectural leadership
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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