Kainos
Data Solution Architect

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Join Kainos and Shape the Future
At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.
We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.
Ready to make your mark? Join us and be part of something bigger.
MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:
As a Data Solution Architect (Manager) in Kainos, you’ll be responsible for:
- Leading a multi-skilled agile teams to design and deliver contemporary data solutions.
- Being a quality orientated pragmatist, where you balance trade-offs to successfully deliver complex solutions.
- Being viewed as an authority figure for data technology solutions, providing strong technical and thought leadership.
Your responsibilities will include:
- Successfully implementing functional and non-functional designs
- Working closely with Ops and Infrastructure architects to productionise robust, resilient, and maintainable data solutions
- Working closely with customer architects to agree functional and non-functional designs. Advising, questioning, informing, and helping the customer in making sound solution design outcomes.
- Working with your peers to develop policy and standards, share knowledge and mentor those around you
- Managing and estimating timelines underpinning solution delivery
- Owning technical solution design as part of a pre-sales process
- Making a significant contribution to the data community and wider data capability
- Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. You’ll also provide direction for your team as you solve problems together
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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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.
Minimum (essential) requirements:
- Experience of leading multiple teams as the data solution architect, with ownership of a system of systems
- Experience in designing, building and productionising modern data-intensive applications including orchestration and operation
- Broad knowledge of the full spectrum of data technologies (data ingestion, transformation, storage, presentation, consumption) being able to integrate these into successful solutions
- Strategic design thinking experience, including problem conceptualisation, approach and roadmap definition, architecture realisation and risk management
- Comfortable with traditional and contemporary data warehousing concepts
- Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.
- Comfortable in one or more of Java, Scala, or Python with the ability to be ‘hands on’ when required


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We are passionate about developing people – a demonstrated ability in managing, coaching and developing members of your team and wider community.
Desirable:
- Knowledge of wider Data Architecture concepts, for example Master Data Management, Masking, Data Governance, Provenance and Lineage
- Experience of Technical Evaluation and product selection
- Comfortable with data integration techniques such as messaging, queuing, change data capture or data virtualisation
Embracing our differences
At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.
Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.
We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.
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