At a Glance
- Tasks: Lead the design of modern, scalable data ecosystems using Azure and Databricks.
- Company: Join a forward-thinking company in Nottingham with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Shape the future of data architecture and drive impactful cloud transformations.
- Qualifications: Experience in enterprise data architecture and cloud platforms is essential.
The predicted salary is between 70000 - 90000 £ per year.
We are seeking an experienced Data Architect to lead the design and delivery of modern, scalable enterprise data ecosystems. This is a strategic role where you will drive data architecture vision, enable cloud transformation, and support advanced analytics and real‑time data capabilities.
Location: Nottingham (Hybrid – 3 days onsite)
Start Date: July 2026
Key Responsibilities- Design and architect scalable, secure, and high‑performance enterprise data ecosystems using Microsoft Azure and Databricks
- Lead the architecture and implementation of modern data platforms, including Data Lakes, Lakehouse, Data Warehouses, and real‑time analytics solutions
- Define and deliver architecture for data integration, ETL/ELT pipelines, batch and streaming data processing, and API‑driven data services
- Establish and enforce enterprise data architecture standards, governance frameworks, and best practices
- Drive strategies across data governance, metadata management, master data management (MDM), and data quality
- Collaborate with enterprise architects, business stakeholders, and engineering teams to align data strategies with business and technology roadmaps
- Provide architectural oversight for cloud security, compliance, scalability, disaster recovery, and cost optimisation
- Lead architecture reviews, design governance, and technical mentoring across data teams
- Champion the adoption of modern cloud‑native and data engineering frameworks across programmes
- Extensive experience in enterprise data architecture and large‑scale data transformation initiatives
- Strong expertise in designing cloud‑based data platforms using Microsoft Azure and Databricks
- Proven track record in delivering modern data architectures including Lakehouse, Data Warehouse, and real‑time analytics solutions
- Strong understanding of data integration, ETL/ELT frameworks, and distributed data processing technologies
- Deep knowledge of data governance, MDM, metadata management, and data quality frameworks
- Experience implementing secure, scalable, and cost‑efficient cloud data solutions
- Strong leadership capability with experience in architecture governance, mentoring, and stakeholder engagement
- Excellent communication and strategic planning skills, with the ability to influence senior stakeholders
- Data Architecture
- Cloud Computing & Microsoft Azure
- Databricks & Lakehouse Architecture
- Azure Data Factory, ADLS, Synapse Analytics
- Delta Lake, Event Hub
- Data Governance & MDM
- ETL/ELT & Data Integration
Data Architect_ Nottingham (Data Architect I) employer: UST
Join a forward-thinking organisation in Nottingham that prioritises innovation and employee development. As a Data Architect, you will thrive in a collaborative hybrid work environment, where your expertise will shape the future of data architecture while enjoying comprehensive benefits and opportunities for professional growth. With a strong commitment to fostering a culture of excellence and inclusivity, this company stands out as an exceptional employer for those seeking meaningful and impactful work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect_ Nottingham (Data Architect I)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UST!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UST.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect_ Nottingham (Data Architect I) at UST, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect_ Nottingham (Data Architect I)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UST, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
