Senior Data Solution Architect in London

Senior Data Solution Architect in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
University College London

At a Glance

  • Tasks: Lead the design of enterprise-level data solutions and shape architectural standards.
  • Company: Join UCL's Information Services Division, a top 10 global university.
  • Benefits: 41 days holiday, pension scheme, on-site gym, and employee support services.
  • Other info: Diversity and inclusion are core values; we encourage underrepresented candidates to apply.
  • Why this job: Make a real impact in data architecture at a prestigious institution.
  • Qualifications: Extensive experience in data architecture and strong leadership skills required.

The predicted salary is between 72000 - 88000 £ per year.

About us Information Services Division (ISD) is the primary provider of IT services to UCL.

We support and enhance learning, teaching, research and administrative processes by providing information- and technology-related services to over 50,000 staff and students of UCL and associated institutions.

Our goal is to be the top IT services group in the HE sector, and we are growing our team’s capability in AI, experience/UX, agile development, security, cloud, service management and partnering.

We are modernising our technology foundations, digitising the processes of the university to transform experience for students and staff, and partnering across the university to drive differentiation in UCL education and research.

Data Architecture within ISD enables UCL’s data-driven transformation.

It delivers enterprise data architecture, integration standards, analytics platforms, and AI foundations supporting the UCL’s Data Strategy and Digital Strategic Plan.

This is a fantastic opportunity to join UCL’s Information Services Division (ISD) as a Senior Data Solution Architect, to help deliver excellence whilst continually evolving and progressing at this globally recognised top 10 university.

About the role The Senior Data Solution Architect defines and governs enterprise-level data solutions across UCL.

The postholder shapes architectural patterns, platform capabilities, data models, Fabric-based data products, and AI-enabled services, ensuring alignment with UCL’s enterprise data architecture blueprint and governance frameworks.

The role provides strategic oversight, architectural assurance, and technical leadership, ensuring data platforms and solutions are scalable, secure, governed, and aligned to UCL’s strategic ambitions.

You will lead solution design in close collaboration with senior stakeholders, fellow architects, delivery teams, and external partners.

Translating strategic priorities into pragmatic, resilient solutions, you will help shape architectural standards, patterns, and governance while remaining close to delivery.

Acting as a trusted advisor to senior leaders, you will balance enterprise-level outcomes with hands-on architectural depth to address complex challenges with broad institutional impact.

About you You are an experienced Data Solution Architect who combines deep technical expertise with the ability to lead, influence, and simplify complex decisions.

You will have all or many of the following: Extensive experience in enterprise data architecture, modern data platforms, and domain driven or canonical data modelling.

Strong hands‑on expertise with Microsoft Fabric, including Lake Houses, Pipelines, Dataflows Gen2, Semantic Models, and governance.

A proven track record of designing and governing large-scale data and integration solutions across analytics and operational systems.

Deep understanding of data governance, including data quality, metadata management, stewardship, and architectural assurance.

Experience designing API‑led and event driven integration architectures.

Practical experience architecting AI‑enabled data solutions, with an understanding of responsible and ethical AI practices.

The credibility and confidence to lead architectural governance, influence senior stakeholders, and guide institutional strategy.

Excellent communication and leadership skills, with a commitment to equality, diversity, and inclusion.

Desirable, but not essential Experience with Azure data and AI services such as Azure Open AI, Purview, Azure Data Explorer, or Databricks.

Experience working in a large, complex organisation, ideally within the higher education sector.

What we offer41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days) Defined benefit career average revalued earnings pension scheme (CARE) Cycle to work scheme and season ticket loan Immigration loan Relocation scheme for certain posts On-Site nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www. ucl. ac. uk/work-at-ucl/rewards-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent.

We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce.

These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women

Senior Data Solution Architect in London employer: University College London

University College London is an exceptional employer that fosters a vibrant and inclusive work culture, particularly within the Cultural and Community Engagement team at UCL East. As an apprentice, you will benefit from hands-on experience in communications while being supported by a team dedicated to your professional growth and development. With a focus on diversity and community involvement, this role offers unique opportunities to engage with various events and initiatives that make a meaningful impact.

University College London

Contact Details:

University College London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Solution Architect in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like University College London!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Solution Architect at University College London.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like University College London.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Solution Architect at University College London, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Solution Architect in London

Enterprise Data Architecture
Data Modelling
Microsoft Fabric
Lake Houses
Dataflows Gen2
Semantic Models
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at University College London, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at University College London. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at University College London

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at University College London!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.