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- Tasks: Shape and model data architecture for a leading organisation's enterprise data landscape.
- Company: Join a well-established company focused on modernising their data approach.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by defining the future of data architecture in a dynamic environment.
- Qualifications: Experience in enterprise data architecture and strong cloud platform knowledge required.
- Other info: Collaborate with top teams and influence key stakeholders in a fast-paced setting.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Experis are delighted to be partnering with a large, well-established organisation as they continue to evolve and modernise their enterprise data landscape. We are supporting them in the search for an experienced Data Architect to join their Group Data & Analytics function on an initial 6-month Fixed Term Contract.
This role plays a critical part in shaping how data is structured, modelled and connected across the organisation. You’ll provide the data-centric architectural direction that underpins high-quality engineering delivery, supports governance, and enables data to be used effectively and consistently across the business.
What You’ll Be Doing:
- Defining principles, standards and patterns for how data is structured, modelled and connected.
- Shaping and maintaining the roadmap for a future‑state enterprise data platform.
- Evaluating and guiding the adoption of modern data architectures (e.g. lakehouse, mesh, fabric).
- Providing data‑focused architectural leadership across programmes, projects and delivery squads.
- Defining and maintaining conceptual, logical and physical data models.
- Reviewing engineering designs to ensure alignment with agreed data standards and best practice.
- Working closely with Data Engineering, Governance and Technology Architecture teams on data‑related decisions.
- Acting as a senior advisor on data architecture, modelling and platform design across the organisation.
Experience Required:
- Proven experience in enterprise‑scale data architecture and data modelling roles.
- Strong understanding of modern cloud‑based data platforms and services.
- Solid knowledge of data integration, transformation and modelling patterns.
- Experience defining future‑state data platform strategies within cloud environments (Azure, AWS, Snowflake or similar).
- Understanding of modern data concepts such as data products and “data as a product”.
- Ability to influence senior stakeholders and collaborate effectively with technology architects.
- Familiarity with contemporary data engineering tooling (e.g. Snowflake‑centric stacks, DBT, Airflow, Fivetran).
If you’d like to learn more, please contact Jacob Ferdinand at Jacob.Ferdinand@experis.co.uk.
Data Architect in Nottingham employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and analytics space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews! Research the company and its data architecture needs. Think about how your experience aligns with their goals. We recommend practising common interview questions and even some technical scenarios related to data modelling and cloud platforms.
✨Tip Number 3
Showcase your skills! Create a portfolio or a GitHub repository with examples of your work in data architecture. This can really set you apart from other candidates. We love seeing practical applications of your knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team in shaping the future of data architecture.
We think you need these skills to ace Data Architect in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with data architecture, cloud platforms, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills in data integration, transformation, and modelling patterns. If you've worked with tools like Snowflake or DBT, let us know! We’re keen to see your expertise in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Experis UK
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles and standards of data architecture. Brush up on modern cloud-based platforms like Azure or AWS, and be ready to discuss how you've applied these in past roles. This will show your potential employer that you’re not just familiar with the concepts but can also implement them effectively.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Review key data modelling patterns and integration techniques, and be prepared to explain your thought process behind architectural decisions. Practising with common interview questions related to data architecture can help you articulate your expertise confidently.
✨Showcase Your Leadership Skills
As a Data Architect, you’ll need to influence and guide teams. Be ready to share examples of how you’ve led projects or collaborated with cross-functional teams in the past. Highlighting your ability to communicate complex ideas clearly will demonstrate your leadership capabilities.
✨Understand the Company’s Data Needs
Research the organisation’s current data landscape and challenges. Tailor your responses to show how your experience aligns with their needs, especially regarding future-state data platform strategies. This shows that you’re proactive and genuinely interested in contributing to their success.
