Arrows
Senior Data Architect

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Architect
Location: London, London Wall
Working pattern: Hybrid, minimum 2 days per week onsite
Contract: 12 months
Rate: Up to £700/day (Inside IR35)
Start: ASAP
Hours: 35 hours per week
The Role
We are looking for an experienced Senior Data Architect to join a major enterprise data transformation programme within the aviation data and analytics space.
The organisation is redesigning and modernising its data estate to support the next generation of AI, advanced analytics, and real-time data capabilities. A key challenge is connecting historically siloed data estates and creating an architecture that enables data to move seamlessly across the wider business.
This is not a purely strategic or advisory architecture position. You will be expected to work closely with engineering, product, data, and AI teams, helping shape the target architecture while remaining close enough to delivery to understand the technical realities and drive change.
What You'll Be Doing
- Lead the design and evolution of enterprise data architecture across a large-scale transformation programme.
- Drive data interoperability across previously siloed data estates, creating a more connected and reusable data ecosystem.
- Design architectures that enable AI, advanced analytics, predictive modelling, and real-time data capabilities.
- Lead architectural decisions across AWS and Snowflake, with exposure to Databricks.
- Work closely with engineers and delivery teams to ensure architectural designs are practical, scalable, and deliverable.
- Define and evolve approaches to data modelling, schema design, and data structuring.
- Ensure the data estate is structured appropriately to support modern AI use cases, including LLMs and knowledge graphs.
- Work with technologies and capabilities including AWS Bedrock and Neo4j, while remaining technology-agnostic when evaluating future AI solutions.
- Embed data governance, lineage, privacy, and metadata principles into architectural designs, working alongside an established governance function.
- Translate complex technical architecture into clear business language and build alignment across technical and non-technical stakeholders.
- Balance long-term architectural direction with the immediate requirements of delivery teams.
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.
Start with a chat, not a search bar
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.
See breakdownIt searches the market for you
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 We're Looking For
- Extensive experience as a Senior Data Architect, Enterprise Data Architect, or similar, working within complex enterprise environments.
- Proven experience delivering or leading large-scale data transformation and modernisation programmes.
- Strong, hands-on architectural experience with AWS and Snowflake.
- Good understanding of Databricks and modern cloud data platforms.
- Strong knowledge of data modelling, schema design, and data architecture patterns.
- Strong SQL and data analysis capabilities.
- Experience designing architectures that connect and integrate data across multiple platforms, systems, and business domains.
- Strong understanding of how enterprise data estates need to be structured to support AI and machine learning use cases.
- Knowledge of modern AI concepts including LLMs, GenAI, knowledge graphs, and scalable model deployment.
- Understanding of data governance, lineage, privacy, and metadata principles.
- Ability to work closely with engineers and challenge or guide technical decisions without needing to personally build every component.
- Strong communication skills, with the ability to explain complex technical concepts to business stakeholders.
- A pragmatic, delivery-focused approach, comfortable working in a fast-paced environment with ambiguity.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Particularly Valuable
- A background progressing from Data Engineering into Data Architecture.
- Experience with AWS Bedrock or similar GenAI services.
- Experience with Neo4j, knowledge graphs, or graph-based data architectures.
- Previous experience within aviation, travel, or another data-intensive industry.
- Experience designing enterprise data platforms specifically to support AI-driven products and analytics.
If this sounds like you and you're looking for a long-term contract where you can have genuine influence over a major data transformation and help shape an enterprise data estate for the next generation of AI, we'd love to hear from you. Apply now to find out more.
“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
Location