At a Glance
- Tasks: Define data modelling standards and architecture for a new enterprise-scale Lakehouse platform.
- Company: Leading UK financial services organisation with a focus on innovation.
- Benefits: Competitive pay, flexible work arrangements, and the chance to shape a transformative programme.
- Other info: Join a dynamic team with opportunities for professional growth and impact.
- Why this job: Be a key player in building a cutting-edge data platform from the ground up.
- Qualifications: Strong experience in enterprise-level data modelling and hands-on architecture design.
The predicted salary is between 60000 - 80000 € per year.
A leading UK financial services organisation is building an enterprise-scale Lakehouse platform from scratch using Databricks, Unity Catalogue, Lakeflow, and Medallion Architecture. The Data Modeller / Architect they hire now will define the modelling standards, architecture patterns, and semantic layer strategy that the entire platform will be built upon.
You’ll be one of the earliest senior hires into a brand-new Data Programme team, working directly alongside the Technical Programme Lead and helping shape a multi-year transformation programme that feeds directly into executive-level reporting and strategic decision-making. This isn’t a role where you inherit established governance and documentation. You’ll be defining it.
Day one looks like this: analysing poorly documented source systems, designing logical and physical Lakehouse models, establishing modelling conventions within ER Studio, and building the semantic structures that Power BI reporting will consume. Alongside that, you’ll help define how Unity Catalogue operates as the governance and metadata layer across the entire platform.
WHAT YOU’LL NEED
- Strong enterprise-level data modelling experience - logical, physical, and conceptual modelling across large-scale, multi-source environments
- Hands-on experience designing Lakehouse or Data Warehouse architectures, including medallion architecture and semantic layer design
- Experience producing canonical data models, dimensional models, and consumption-layer structures aligned to BI and reporting requirements
- Experience working in highly regulated data environments, ideally within financial services like wealth management, investment platforms, or similar
- Strong understanding of Databricks architecture, including Delta tables, Unity Catalogue, and governance considerations
- Experience with ER Studio or equivalent enterprise modelling tooling, with confidence in establishing repositories, standards, naming conventions, and model management processes from scratch
- Confidence operating at both strategic and hands-on levels - defining standards while still producing detailed modelling artefacts yourself
- Strong stakeholder communication skills - able to challenge, guide, and translate complex modelling decisions for both technical and non-technical audiences
A BONUS IF YOU HAVE
- Experience implementing enterprise data governance within Databricks environments
- Familiarity with Power BI semantic model design and KPI layer definition
- Experience working within Agile delivery environments using Azure DevOps
- Experience helping organisations establish enterprise data modelling capability from scratch
Please click the ‘Apply’ button to find out more.
Senior Data Modeller / Architect - Financial Services in Swindon employer: Data Science Talent
Join a leading UK financial services organisation that prioritises innovation and employee growth, offering a unique opportunity to shape a brand-new Data Programme team in Swindon. With a collaborative work culture and a focus on defining data governance from the ground up, you'll be empowered to make impactful decisions while enjoying flexible working arrangements. This role not only provides a chance to work with cutting-edge technologies but also fosters professional development in a highly regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Modeller / Architect - Financial Services in Swindon
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Senior Data Modeller/Architect role. You never know who might have the inside scoop on opportunities or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some practical projects. If you can, work on personal or open-source projects that showcase your skills in data modelling and architecture. This will not only boost your portfolio but also give you real-world examples to discuss in interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of Databricks, Lakehouse architectures, and enterprise data governance. Be ready to explain how you've tackled similar challenges in the past and how you can bring that expertise to the new role.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles waiting for talented individuals like you. Plus, applying directly gives you a better chance of standing out to our hiring team.
We think you need these skills to ace Senior Data Modeller / Architect - Financial Services in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data modelling, Lakehouse architectures, and any relevant financial services background. 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 the perfect fit for this role. Share specific examples of your past work that relate to the responsibilities mentioned in the job description. Let us know why you’re excited about this opportunity!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with tools like Databricks, ER Studio, and Power BI. We’re keen to see how you’ve used these in previous roles, especially in regulated environments. Be specific about your contributions and achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it’s super easy—just click the ‘Apply’ button and follow the prompts!
How to prepare for a job interview at Data Science Talent
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data modelling. Be ready to discuss specific projects where you defined modelling standards or built architectures. This role is all about shaping the data foundations, so showcasing your hands-on experience with Lakehouse or Data Warehouse architectures will definitely impress.
✨Speak Their Language
Familiarise yourself with the key terms and technologies mentioned in the job description, like Databricks, Unity Catalogue, and medallion architecture. Use these terms confidently during the interview to demonstrate your understanding of the tools and concepts that are crucial for the role.
✨Showcase Your Strategic Thinking
This position requires both strategic oversight and hands-on skills. Prepare examples that highlight how you've successfully balanced these aspects in previous roles. Discuss how you’ve defined governance and documentation from scratch, as this will resonate well with their need for someone who can lead the charge in a new data programme.
✨Engage with Stakeholders
Strong communication skills are essential for this role. Think of instances where you’ve had to explain complex data concepts to non-technical stakeholders. Be ready to share how you’ve guided teams through challenging decisions, as this will show your ability to bridge the gap between technical and non-technical audiences.
