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Location: London (Hybrid – 1–2 days per week onsite) Salary: £90,000 - £100,000 + Excellent Benefits Job Type: Permanent
Are you an experienced Data Architect looking to shape the future of enterprise data platforms? We're working with a leading global organisation that is investing heavily in cloud, data and AI transformation. As part of this growth, they're looking for a Senior Data Architect to design and deliver enterprise-scale data platforms that power advanced analytics, machine learning and AI solutions. This is an opportunity to work on large-scale transformation programmes, influencing data strategy and architecture while working with some of the latest cloud technologies.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Role
As a Senior Data Architect, you'll be responsible for designing scalable, secure and high-performing data platforms across cloud environments. You'll work closely with technical teams, stakeholders and business leaders to define architecture, establish best practices and deliver modern data solutions.
Key Responsibilities
- Design and architect enterprise-scale cloud data platforms.
- Define data architecture strategies, standards and governance.
- Deliver modern data solutions using Databricks, Snowflake, AWS and GCP.
- Enable advanced analytics, AI and machine learning capabilities.
- Work closely with engineering, data and business teams to deliver end-to-end solutions.
- Provide technical leadership throughout the project lifecycle.
- Ensure solutions are secure, scalable and aligned with business objectives.


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Skills & Experience
We're looking for professionals with experience in:
- Enterprise Data Architecture.
- Databricks.
- Snowflake.
- AWS and/or GCP.
- Designing modern cloud data platforms.
- Data Lakes, Data Warehouses and Lakehouse architectures.
- Data governance, security and architecture best practices.
- AI, Machine Learning or Data Science platforms (highly desirable).
- Banking, Financial Services or other highly regulated industries (preferred).
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