Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect - West Midlands - 50000 - 77000

SmartSourcing Ltd
Birmingham
6 days ago
Create job alert
Data Architect Birmingham or London

50k-77k


With some travel


This Data Architect role is responsible for delivering the vision of the organisation as set out by the Head of Information Management including designing and building data models and structures.


Accountable for developing CLIENT's enterprise data model, ensures strategic alignment, and enabling integration with wider business and technology architectures.


To be responsible for supporting and contributing to the development of information and data strategy.


To be responsible for governance and management of data and information, working closely with IT Security and Assurance colleagues to ensure CLIENT Information if managed safely, securely, and legally.


To be accountable for planning, directing and coordinating activities with IPTs, Joint Ventures and Tier 1 contractors to ensure deliverables meet CLIENT contractual requirements.


To be responsible for assuring the quality of data, working with Information Asset Owners to agreed processes and standards.


To be responsible for networking and communicating with senior stakeholders across CLIENT, proactively seeking out opportunities for digital transformation.


To be responsible for supporting multiple teams, finding and using the latest best practice.


To be responsible for guiding and supporting other architects and IT colleagues


Actively promote and embed Equality Diversity and Inclusion (EDI) in all your work, and support and comply with all organisational initiatives, policies and procedures on EDI.


Skills

  • Communication skills (data).
  • Data communication.
  • Data governance.
  • Data innovation.
  • Data modelling.
  • Data standards.
  • Metadata management.
  • Problem resolution (data).
  • Strategic thinking (data architecture).
  • Knowledge of agile methods and their implications for Data Architecture.
  • Knowledge of strategic and emerging technology trends, and their practical applications.
  • Knowledge and understanding of defining and building information/data models to provide a full understanding of data and expose relevant issues, risks and opportunities

Type of experience

  • Experience of leading the design of data models and enterprise master data management solutions.
  • Experience of defining complex technical data models and communicating technical models clearly to stakeholders at all levels.
  • Experience of successfully working with Technical and Enterprise Architects ensuring that the organisations systems are designed in accordance with the appropriate data architecture and fully governed.
  • Experience of using Data Architecture tooling, integration or notation


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.