At a Glance
- Tasks: Design and deliver innovative data solutions that shape the future of digital infrastructure.
- Company: Join CityFibre, the UK's largest independent full fibre network, committed to a greener future.
- Benefits: Competitive salary up to £87,000, flexible working, generous leave, and private medical insurance.
- Other info: Inclusive workplace culture with opportunities for career growth and personal development.
- Why this job: Be part of a transformative team making a real impact on connected lives across Britain.
- Qualifications: Experience in data architecture, cloud technologies, and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
This role offers a great balance of home and office working, with flexibility around location and the expectation of attending one of our offices at least two days a week.
As the UK’s largest independent full fibre network and wholesale platform of choice, we’re busy setting new standards for what digital infrastructure can and should be. Our network is greener, more reliable and designed for the future. The products we run over it lead the way on speed, value and service - helping businesses to innovate, communities to thrive, and people to live more connected digital lives. At CityFibre, you’ll be part of something bigger, helping to build a better-connected Britain, together.
Joining us as a Data Solution Architect, you'll play a key role in shaping and delivering CityFibre's enterprise data architecture, designing scalable data, analytics and AI-enabled solutions that support our wider business transformation. Working closely with business stakeholders, technology teams and delivery partners, you'll take ownership of end-to-end solution architecture, translating complex business requirements into practical, secure and future-ready technology solutions.
You’ll receive a salary of up to £87,000, depending on experience, alongside a performance-related bonus and a range of flexible benefits.
This is some of what you can expect to be doing:
- Lead the end-to-end solution architecture and design of enterprise data platforms, data products, analytics and AI-enabled solutions, from initial requirements through to implementation.
- Partner with business and technical stakeholders to understand requirements, challenge assumptions and ensure architectural decisions align with business objectives.
- Evaluate technology options, architectural trade-offs, risks and dependencies, balancing business value, scalability, cost and delivery considerations.
- Design modern cloud-based data architectures, including data lakes, warehouses, lakehouses, integration frameworks and enterprise analytics platforms.
- Establish and maintain architecture principles, reference architectures, governance standards and technology roadmaps across data and AI solutions.
- Provide architectural leadership to engineering and delivery teams, influencing technical decisions and ensuring solutions are delivered in line with agreed designs.
- Support the adoption of emerging technologies, including Generative AI, Agentic BI and intelligent automation, identifying opportunities to deliver measurable business value.
What you'll bring to the role:
You’ll be an experienced Data Solution Architect with a strong background in enterprise data architecture, cloud technologies and end-to-end solution design, combined with the ability to translate complex business requirements into practical, scalable solutions. You’ll also have:
- Proven experience owning end-to-end solution architecture within large, complex enterprise environments.
- Strong experience designing modern data platforms, including data warehouses, data lakes, lakehouses and integration architectures.
- Experience with cloud technologies, ideally AWS, alongside platforms such as Snowflake, Databricks and modern analytics solutions.
- Excellent stakeholder management skills, with the confidence to challenge requirements, influence decisions and communicate architectural trade-offs.
- Strong understanding of architecture governance, data modelling, integration patterns and solution design standards.
- Ability to provide architectural leadership across technical teams, navigate ambiguity and balance business priorities with delivery considerations.
- Experience within telecommunications or other complex, data-driven industries would be advantageous, alongside exposure to Generative AI, Agentic AI and architecture frameworks such as TOGAF or TM Forum.
Life at CityFibre: Everyone deserves to feel heard, valued and truly included. Working alongside our Employee Communities, we’re committed to creating a workplace where people feel a genuine sense of belonging and pride in what they do. That’s why we’re proud to be a Times Top 50 Employer for Gender Equality, endorsed by WORK180, a Disability Confident Leader, a Care Leaver Friendly Employer, and a signatory of the Armed Forces Covenant Gold Award.
We’ll support you to thrive inside and outside of work, with opportunities to grow your career and a flexible benefits package that adapts to your life – including generous annual leave (with an extra day off on your birthday), private medical insurance, health cash plans and family‑friendly policies.
Find out more about our culture, communities and benefits on our careers site.
Additional Information: We want to create a sense of belonging for everyone. We celebrate our differences and work to ensure everyone has the best chance to succeed, starting with our recruitment process. No matter your background, family or carer status, ethnicity, sexual orientation, religion, age, disability, gender, or gender identity, we welcome your application. If you need any support or reasonable adjustments throughout the application process, please email us at [email protected]. We want to help!
Data Solution Architect in London employer: CityFibre
CityFibre is an excellent employer, offering a dynamic work culture that values collaboration and innovation. Employees benefit from flexible hybrid working arrangements, comprehensive training programmes, and opportunities for career advancement within a rapidly growing company in the telecommunications sector. With a focus on delivering meaningful customer outcomes, you will be part of a team that makes a real impact in the community while enjoying a supportive environment that fosters professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Solution Architect in London
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We think you need these skills to ace Data Solution Architect in London
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!
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Craft a Tailored Cover Letter:For a full-time role at CityFibre, 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 CityFibre. 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 CityFibre
✨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!
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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
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✨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.
