At a Glance
- Tasks: Design and deliver modern data platforms using Databricks for advanced analytics.
- Company: Join a leading tech firm with a focus on innovative data solutions.
- Benefits: Competitive salary, bonus, hybrid working, and career growth opportunities.
- Other info: Interviews next week; apply now for a chance to join a dynamic team.
- Why this job: Shape data strategies and make a real impact in the tech industry.
- Qualifications: 5+ years in Data Architecture and hands-on experience with Databricks.
The predicted salary is between 125000 - 125000 € per year.
We're looking for an experienced Data Architect to design and deliver modern, scalable data platforms built on Databricks. You'll lead the architecture of Lakehouse solutions supporting advanced analytics, AI/ML, and business intelligence, working closely with clients to shape data strategies and deliver real business value.
This is a UK‐based role (Edinburgh, Manchester, or London) with hybrid working and occasional client site visits.
Key Details:- Salary: Up to £125,000 per annum + bonus
- Start Date: ASAP (our client can work around notice periods of up to 3 months)
- Employment type: Permanent
- Architect and implement Databricks Lakehouse solutions end‐to‐end
- Design scalable data models and pipelines using Spark, Delta Lake, and PySpark
- Lead client engagements, shaping data strategies and best‐practice architectures
- Win business through presenting solutions and advising potential clients
- Optimise Databricks performance, security, and cost efficiency
- Implement governance, CI/CD, and cloud best practices
- At least 5 years experience in Data Architecture
- 3+ years with Databricks
- End to end pre-sales experience
- Hands‐on data engineering skills (Python, Scala, SQL)
- Experience with Azure
- Solid understanding of data modelling (Kimball, 3NF, Data Vault)
- Excellent stakeholder communication and consulting skills
Databricks certifications highly desirable.
Interviews are taking place next week, so if you're interested, please apply today and we'll be in touch shortly.
Alternatively, feel free to reach out to Josh Wolstenholme directly on LinkedIn for a confidential conversation.
Databricks Data Architect in England employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Data Architect will directly impact client success. With hybrid working options and a focus on professional development, you'll have the opportunity to grow your skills in a supportive environment while working in vibrant cities like Edinburgh, Manchester, or London. Enjoy competitive compensation and the chance to lead cutting-edge projects that drive real business value.
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture space, especially those who have experience with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving Databricks and data modelling. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to data architecture and Databricks. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals like you to join our team.
We think you need these skills to ace Databricks Data Architect in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks, data modelling, 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 bring value to our team. Don't forget to mention your hands-on experience with tools like Spark and Azure.
Showcase Your Achievements:When detailing your experience, focus on specific achievements rather than just responsibilities. We love to see quantifiable results, so if you've optimised performance or led successful client engagements, let us know!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Plus, we’re excited to hear from you!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand how Lakehouse solutions work and be ready to discuss your experience with Spark, Delta Lake, and PySpark. Being able to articulate your hands-on experience will show that you're not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Client Engagement Skills
Since this role involves leading client engagements, prepare examples of how you've shaped data strategies in the past. Think about specific projects where you’ve advised clients and delivered real business value. This will demonstrate your consulting skills and ability to communicate complex ideas clearly.
✨Prepare for Technical Questions
Expect technical questions related to data modelling and architecture best practices. Brush up on concepts like Kimball, 3NF, and Data Vault. Be ready to explain how you've implemented these in your previous roles, as this will highlight your expertise and problem-solving abilities.
✨Demonstrate Your Passion for Data Governance
With a focus on governance, CI/CD, and cloud best practices, be prepared to discuss how you've implemented these in your past projects. Share specific examples of how you optimised performance, security, and cost efficiency in your data platforms. This will show that you understand the importance of these aspects in a successful data architecture.
