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Practicing Data Architect
Senior Data Architect
Location: London
About the Role
We are seeking an experienced Data Architect with a minimum of 10 years of experience in:
- Data architecture
- Data engineering
- Large-scale data platform design
This role is ideal for a hands-on Data Architect who can operate at both the architectural and engineering levels, driving:
- Solution design
- Active contribution to implementation and delivery
Hybrid Working Policy
Your daily work location is a blend of:
- Company offices
- Client sites
- Home (100% remote working is not permitted)
Key Responsibilities
- Accountability for solution design within the Bank's EDL (Enterprise Data Lake) and ODS (Operational Data Store) Platforms on Cloudera in AWS, focusing on data design leadership
- End-to-end design of distributed data solutions to meet business needs within broader projects
- Contributing to overall solution planning, including:
- Input to factory estimation processes
- Highlighting technical risks, issues, and assumptions
- Reviewing design artefacts from other architects within the data factory team
- Defining and deriving data best practices, adopting industry standards, and identifying areas requiring improvement in:
- Technology
- Processes
- Producing design deliverables, either independently or as a team member
- Collaborating with the business and programmes to refine data requirements
- Presenting to the Bank’s Architecture Review Board as required
- Engaging with key stakeholders, including:
- Group Data Office
- Cross-business leaders
- Supporting nonfactory solution architects on change initiatives
- Ensuring solutions align with strategic architecture principles and direction
- Reviewing technical team designs to verify alignment with the overall solution design
- Supporting delivery-led iterative sprints, breaking down solutions effectively
- Assistance to engineering functions in the factory, including:
- Mapping
- Testing
- Release processes
- Reviewing requirements and monitoring change requests to ensure the solution remains fit for purpose
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.
Essential Skills and Expertise
- Highly experienced solution architect in designing solutions for:
- Large-scale distributed data projects
- Programmes within complex, multivendor environments
- Deep expertise in distributed data platforms, particularly:
- Cloudera CDH/CDP platform (both On-Premise and Cloud)
- Experience with:
- Large dataset processing
- Streaming data
- Unstructured data sources using technologies such as:
- Cassandra
- HBase
- Kafka
- Spark
- Strong background in:
- ETL pipelines
- Data pipelines, specifically with:
- Modern big data toolsets (e.g., Apache Airflow, NiFi or equivalent)
- Proficiency in programming, including:
- Java
- Python
- Scala
About Capgemini
Disability Confident Employer
We are proud to be a Disability Confident Employer (Level 2).
We will offer an interview to all candidates who:
- Declare a disability AND
- Meet the minimum essential criteria
Opt-in required during application.
Employee Wellbeing ("Make It Real")
At Capgemini, employee wellbeing is essential to our culture and goals. We recognise that a healthy workforce is critical to achieving our ambitions.


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Wellbeing Initiatives:
- Trained Mental Health Champions throughout the business
- Wellbeing apps:
- Thrive
- Peppy
Learning and Growth ("Learning for Life")
- Training and development opportunities:
- Thinktanks
- Hackathons
- Access to 250,000+ courses, including credentials from:
- AWS
- Microsoft
- Harvard Manage Mentor
- Cybersecurity qualifications
Commitment to Ethics
Capgemini is consistently named a World’s Most Ethical Company® by Ethisphere® for 13 consecutive years. Our culture reflects:
- Ethical business choices in day-to-day decision-making
- A focus on creating a sustainable, inclusive future
Why Join Capgemini?
- Join a quintessentially free-thinking company, led by entrepreneurs and industry leaders
- Explore innovative uses of technology to reimagine and transform industries and enterprises
- Engage with world-leading clients, shaping their futures through technology and expertise
- Develop sought-after skills through collaboration, knowledge-sharing, and continuous improvement
- Contribute to a better, more sustainable world through technology
About Capgemini
- Global business and technology transformation partner, powered by AI
- 420,000 team members in over 50 countries
- Delivers end-to-end services via:
- Strategy and industry expertise
- Strong partner ecosystems
- Design, technology, engineering, and business operations
- 2024 reported revenues: €22.1 billion
Learn more at www.capgemini.com
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