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

Nominate & Attend

Senior Data Architect

CALIO Consulting Group (CCG)
Nottingham
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Architect - Leading GIS/Geo-spatial Telco SaaS Business

Senior Data Architect

Key Responsibilities


  • Collaborate with colleagues across other disciplines to ensure consideration of architecture at all stages of the delivery lifecycle and to ensure input into architecture processes.
  • Collaborates with other specialists to ensure advice given is appropriate to the organisations needs
  • Collaborate and consult with stakeholders to assure decisions are aligned with data architecture strategy
  • Contribute to the data architecture vision, strategy and roadmaps, including ‘as is’, ‘to be’ and transitional states for customers
  • Contributes to the creation or review of a data strategy that meets the requirements of the business.
  • Coordinates the application of analysis, design and modelling techniques to establish, modify or maintain data structures and their associated components.
  • Investigates enterprise data requirements where there is complexity and ambiguity.
  • Manages the iteration, review and maintenance of data requirements and data models.
  • Plans own data modelling and design activities, selecting appropriate techniques and the correct level of detail for meeting assigned objectives
  • Guide client organisations to make appropriate business, technology and data decisions by recommending reuse, sustainability and scalability, to achieve value for money and reduce risk
  • Understand client’s ecosystem and interdependencies, including reference architectures
  • Contribute to architectural principles, policies and standards
  • Contributes to policies, standards, and guidelines for how the client organisation conducts data strategy development and planning.
  • Contributes to standards for data modelling and design tools and techniques, advises on their application and ensures compliance.
  • Ensures adherence to applicable standards (corporate, industry, national and international).
  • Provide advice, leadership and mentoring for teams, defining standards and best practices
  • Act as pre-sales architect for bids and proposals, assisting with estimation and planning.
  • Participate in business development providing architectural input and meeting with clients to secure new business.
  • Work as part of a team to develop architectures for industry focused sales propositions.
  • Identification of new and emerging industry trends, software, technologies, products, services, methods and techniques and the assessment of their relevance and potential value for solutions, improvements in cost/performance or sustainability.
  • Mentor junior team members, providing feedback and support to career development.
  • Participate in development of internal architecture capability, including contributing to identification and definition of best practices, standards and ways of working.
  • Promotion of emerging technology awareness among staff and business management.


Technologies, Methodologies and Frameworks:


  • Knowledge and experience of using Architecture modelling tools such as Sparx Enterprise Architect.
  • Experience working with multi-disciplinary teams.
  • Knowledge and experience of applying best practice for handling personal data. E.g., GDPR.
  • Knowledge and experience of applying best practice within one or more specialist architecture domains.
  • Strong understanding and practical experience of working with multi-discipline teams to deliver complex technology services.
  • Understands and communicates industry developments, and the role and impact of technology


Desirable skills:


  • Experience of working in secure customer environments
  • Active SC clearance
  • DAMA CDMP certified
  • Experience of Secure Software Development Lifecycle processes and methodologies.
  • Experience working in the UK Central Government or Defence sectors.
  • Industry recognised Technical Qualifications
  • TOGAF certified with experience of applying the framework in a client environment.
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.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.

Top 10 Mistakes Candidates Make When Applying for Data-Science Jobs—And How to Avoid Them

Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer. Introduction From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix. Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.