National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Architect

Fusion People
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect (fully remote)

Salary: £85,000 + company benefits

Full time – Permanent

Must be able to gain SC Clearance

Job Purpose:

To work within a team of architects providing support to core infrastructure and business led projects, providing specific data architecture expertise to solution and enterprise architects.

The person appointed will be an integral member of the Architecture Team and will be responsible for ensuring that all initiatives explicitly consider data as part of their approach, and that all elements of the data lifecycle are adequately provisioned. They will also be expected to be involved in the design and implementation of the enterprise data strategy, ensuring the strategy supports the current and future business needs. The role will involve collaborating with Business and IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business.

Major Tasks and Activities:

Develop and evolve the enterprise data strategy to support delivery of corporate objectives Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise data strategy Be a key influencer to core system development decisions around the storage, integration, aggregation and access of data across the Picasso landscape Contribute to creating a framework of principles to ensure data integrity across the business (including but not limited to ERP, BI, Data warehouse, external interfaces etc.) Guide the organisation to make appropriate business, technology and data decisions by recommending reuse, sustainability and scalability, to achieve value for money and reduce risk Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies. Build and maintain appropriate Enterprise Architecture artefacts including; Entity Relationship Models, interface catalogues, and taxonomy to aid data traceability Design enterprise level data ontologies that support main business initiatives e.g. asset management, training and MRO

Qualification and Experience:

Experienced IT professional A bachelor’s degree in information technology or a related field. Experience in system architecture Excellent technical and analytical skills. Strong communication and interpersonal skills. Good leadership and motivational skills. Experience in modelling and graphic representations Customer facing consultancy Senior Stakeholder management Technical qualifications e.g., MCSE, CCNA, TOGAF Demonstrable knowledge and experience of contributing to technical solutions for large scale complex projects A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Azure Data Factory, Data Lake, other analytics products Experience of architecting data solution across hybrid (cloud, on premise) data platforms Experience implementing data solutions Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including; normalisation, OLAP / OLTP principles and entity relationship analysis Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output Possess in-depth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on premise solutions Strong analytical and numerical skills are essential, enabling easy interpretation and analysis of large volumes of data A comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache & Inmemory stores Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment Working with environments complying with government JSP 604 Standards Experience of designing solutions that are accredited by external bodies such as MoD, and supporting Information Assurance in gaining accreditation Use of Architectural Toolset for design, process & lifecycle management (e.g. Sparx EA, Lean IX, System Architect, etc)

— Fusion People are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You’ll find a wide selection of vacancies on our website.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.