At a Glance
- Tasks: Lead the design of innovative data platforms and build scalable data solutions.
- Company: Join a forward-thinking company at the forefront of data architecture in the UK.
- Benefits: Competitive salary, travel opportunities, and a chance to shape impactful data ecosystems.
- Other info: Exciting career growth in a dynamic environment with monthly office visits in Leeds.
- Why this job: Make a real difference in how organisations leverage data for advanced analytics.
- Qualifications: Experience with Foundry or similar platforms and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Ready to take the lead on some of the most exciting data platform work happening in the UK right now? We’re looking for a Senior/Lead Data Architect who knows their way around modern, ontology‑driven data platforms (Foundry experience ideal) and wants real influence over how large‑scale, high‑impact data ecosystems are designed. This is a role where your architectural decisions genuinely shape how organisations use data, from real‑time operations to advanced analytics and everything in between.
What you’ll be doing:
- Designing and evolving enterprise‑level ontologies / semantic layers
- Building scalable, well‑structured data pipelines and data products
- Working with a wide range of data types, structured, unstructured, streaming, IoT
- Embedding strong security, lineage, and access controls
- Partnering with engineers, analysts, and senior stakeholders to drive platform adoption
- Supporting cloud‑based deployments, ideally AWS
What we’re looking for:
- Strong hands‑on experience with Foundry or similar modern data platforms
- Background in enterprise data modelling or semantic architecture
- Experience in regulated or high‑governance environments
- Confident communicator who can influence both technical and non‑technical teams
Nice to have:
- Foundry‑related certifications
- AWS Solutions Architect
- TOGAF or similar EA frameworks
- Knowledge of interoperability standards (FHIR/HL7/SNOMED)
This role does require monthly travel to the office in Leeds.
Data Architect in Leeds employer: G.Digital
Join a forward-thinking company that values innovation and collaboration, where as a Senior/Lead Data Architect, you will have the opportunity to shape cutting-edge data platforms that drive real impact across the UK. Our inclusive work culture fosters continuous learning and professional growth, supported by a range of benefits including flexible working arrangements and a commitment to employee well-being. With a vibrant office in Leeds, you'll be part of a dynamic team that encourages creativity and empowers you to make meaningful contributions to the future of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Leeds
✨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 G.Digital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at G.Digital.
✨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 G.Digital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at G.Digital, 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 in Leeds
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 G.Digital, 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 G.Digital. 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 G.Digital
✨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 G.Digital!
✨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.
