At a Glance
- Tasks: Design and deliver modern data platforms using Databricks for advanced analytics and AI/ML.
- Company: Join a leading tech firm with a focus on innovative data solutions.
- Benefits: Competitive salary, bonus, hybrid working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with excellent career advancement opportunities.
- Why this job: Shape data strategies and make a real impact in the world of data architecture.
- Qualifications: 5+ years in Data Architecture, 3+ years with Databricks, and strong communication skills.
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.
What you’ll do:
- 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
What you’ll bring:
- At least 5 years experience in Data Architecture
- 3+ years with Databricks
- End to end pre-sales experience
- Experience with Azure
- Solid understanding of data modelling (Kimball, 3NF, Data Vault)
- Excellent stakeholder communication and consulting skills
- Databricks certifications highly desirable.
Databricks Data Architect in Edinburgh employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking company that values innovation and collaboration, where as a Databricks Data Architect, you will have the opportunity to shape cutting-edge data solutions in a dynamic hybrid work environment. With a strong focus on employee growth, we offer comprehensive training and development programmes, alongside competitive salaries and bonuses, ensuring that your contributions are recognised and rewarded. Our vibrant culture fosters creativity and teamwork, making it an ideal place for professionals looking to make a meaningful impact in the data landscape across major UK cities like Edinburgh, Manchester, and London.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the data architecture space, especially those who have experience with Databricks. Attend meetups or webinars to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding of Databricks Lakehouse solutions. Be ready to discuss how you've implemented scalable data models and pipelines in past roles.
✨Tip Number 3
Showcase your consulting skills! When you get the chance to present your ideas, focus on how you can shape data strategies that deliver real business value. Clients love seeing how you can solve their problems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Databricks Data Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Databricks Data Architect role. Highlight your experience with data architecture, Databricks, 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. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with Spark, Delta Lake, and any other relevant technologies. We love seeing candidates who are well-versed in the tools we use!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 past projects and how they relate to the role will show that you're the right fit.
✨Showcase Your Client Engagement Skills
Since this role involves leading client engagements, prepare examples of how you've shaped data strategies in previous positions. Think about specific challenges you faced and how you overcame them. This will demonstrate your consulting skills and ability to communicate effectively with stakeholders.
✨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 applied these methodologies in your work, as this will highlight your expertise and problem-solving abilities.
✨Discuss Governance and CI/CD Practices
Governance and CI/CD are crucial in data architecture. Be prepared to discuss how you've implemented these practices in your previous roles. Sharing specific examples of how you've optimised performance, security, and cost efficiency will show that you understand the importance of these elements in a successful data platform.
