At a Glance
- Tasks: Design and implement scalable cloud-based data architecture using Azure and Databricks.
- Company: Forward-thinking organisation with a strong national presence.
- Benefits: Competitive salary, hybrid working, 25 days leave, and enhanced pension.
- Other info: Join a dynamic team with opportunities for innovation and career growth.
- Why this job: Shape the future of data strategy and drive real business value.
- Qualifications: Experience in enterprise-scale data platforms and knowledge of Azure and Databricks.
The predicted salary is between 80000 - 88000 £ per year.
I’m seeking an experienced Data Architect for a forward-thinking, regulated organisation with a strong national footprint. They are looking for a talented Enterprise Data Architect to shape the future of their cloud‑first data strategy. You’ll be responsible for designing, implementing, and optimising a scalable and secure data architecture that empowers advanced analytics, supports regulatory reporting, and drives long‑term business value. You will lead the design of a high‑performance data estate, built primarily on Microsoft Azure and Databricks.
Key Responsibilities
- Design and implement scalable, secure cloud‑based data architecture (Azure & Databricks)
- Develop optimised data models and pipelines using Delta Lake and Azure services
- Define data standards, policies, and governance practices aligned with compliance
- Enable real‑time analytics and machine learning use cases across business functions
- Ensure data integration across structured/unstructured sources with high availability
- Lead innovation and adopt best practices in data engineering and architecture
- Collaborate with internal stakeholders and third‑party vendors
Key Skills & Experience
- Proven background designing and delivering enterprise‑scale data platforms
- Strong knowledge of Microsoft Azure, Databricks, Delta Lake, and data warehousing
- Advanced data modelling and ETL/ELT optimisation experience
- Familiarity with regulatory frameworks such as IFRS 17, BCBS 239, and UK Data Protection
- Excellent stakeholder communication and cross‑functional collaboration skills
- Prior experience in a regulated industry (e.g. insurance, financial services, healthcare) is desirable
- Microsoft Certified: Azure Solutions Architect Expert
- Databricks Certified Data Engineer or Machine Learning Associate
Benefits for the Enterprise Data Architect
- Discretionary annual bonus
- Hybrid working (2 days office / 3 days home)
- 25 days annual leave + bank holidays (increasing over time)
- Enhanced pension
- Flexitime & flexible working options
- Electric car salary sacrifice scheme
- Life assurance (4x salary)
- Discounts on insurance products and retailers
- Cycle to Work Scheme, community support days & social events
Data Architect in Bristol employer: Hunter Selection Ltd
Join a forward-thinking organisation in Bristol that prioritises innovation and employee well-being. As a Data Architect, you'll benefit from a hybrid working model, generous annual leave, and a supportive work culture that fosters professional growth through continuous learning and collaboration. With a strong focus on cloud-first strategies and advanced analytics, this company offers a unique opportunity to shape the future of data architecture while enjoying a range of employee benefits including enhanced pension schemes and community support initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Bristol
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or a GitHub repository with projects that highlight your data architecture skills, especially with Azure and Databricks. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Focus on your problem-solving skills and how you’ve tackled challenges in past roles. Remember, they want to see how you think and approach data architecture issues.
✨Apply Through Our Website
When you find a job that fits, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Microsoft Azure, Databricks, and any relevant regulatory frameworks. We want to see how your skills align with our needs!
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 cloud-first strategy. Keep it engaging and personal – we love a good story!
Showcase Your Projects:If you've worked on any impressive data projects, make sure to mention them! We’re interested in seeing how you've designed and implemented scalable data architectures. Real-world examples can really make your application stand out.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Hunter Selection Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Azure, Databricks, and Delta Lake. Brush up on your knowledge of cloud-based data architecture and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data modelling and ETL/ELT optimisation. Think about scenarios where you’ve had to innovate or adopt best practices in data engineering.
✨Understand Regulatory Frameworks
Familiarise yourself with relevant regulatory frameworks like IFRS 17 and UK Data Protection. Be prepared to discuss how you’ve ensured compliance in previous roles and how it impacts data architecture.
✨Communicate Effectively
Since collaboration is key, practice articulating your ideas clearly. Think about how you can convey complex technical concepts to non-technical stakeholders, as this will demonstrate your excellent communication skills.
