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Data Solution Architect

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: CityFibre
Full Time position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 87000 GBP Yearly GBP 87000.00 YEAR

Job Description & How to Apply Below

Location: Greater London

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 City Fibre, 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 City Fibre'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, lake houses, 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, lake houses 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 with in telecommunications or other complex, data-driven industries would be advantageous, alongside exposure to Generative AI, Agentic AI and architecture frameworks such…

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