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Job Title: AWS Data Architect
Location: London
Work Model: Hybrid (3 days on-site)
Start Date: ASAP
Contract Length: 6 Months
Contract Type: Inside IR35
About the Role
We are looking for an experienced Lead Data Architect to lead the design and delivery of enterprise-scale cloud data platforms for major UK Insurance and Financial Services organisations. This role will focus on building modern data architectures using AWS, Databricks, and MongoDB, while supporting large-scale data modernisation and cloud migration programmes.
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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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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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.
Key Responsibilities
- Define enterprise data architecture and cloud data strategy
- Design scalable Lakehouse architectures using AWS and Databricks
- Develop conceptual, logical, and physical data models
- Lead data modernisation and cloud migration initiatives
- Establish data governance, security, lineage, and data quality frameworks
- Work closely with business, engineering, and executive stakeholders
- Provide technical leadership and mentor data engineering teams


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Essential Experience
- Strong enterprise data architecture background
- Hands-on experience designing AWS Databricks platforms
- Experience working with MongoDB
- Data modelling across conceptual, logical, and physical layers
- Data governance, lineage, security, and quality frameworks
- Cloud migration and data modernisation programmes
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