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- Tasks: Lead innovative data solutions and mentor teams in using Databricks.
- Company: A top UK data solutions provider with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data analytics and make a real impact.
- Qualifications: Deep technical expertise in data platforms and enterprise solution architecture.
- Other info: Join a dynamic team with a strong commitment to engineering excellence.
The predicted salary is between 48000 - 72000 £ per year.
A leading data solutions provider based in the UK is seeking a Technical Champion to shape innovative data and analytics solutions, especially using Databricks. In this role, you will lead solution architecture, mentor teams, and serve as a strategic advisor for clients undergoing data transformations.
Ideal candidates will demonstrate:
- Deep technical expertise with data platforms
- Solid experience in architecting enterprise solutions
- The ability to drive engineering excellence through best practices
Databricks Data Architecture Lead employer: Simpson Associates
Contact Detail:
Simpson Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Data Architecture Lead
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Databricks Data Architecture Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and solutions you've architected. We want to see your technical expertise in action, especially with data platforms and enterprise solutions.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Databricks and be ready to discuss how you’ve driven engineering excellence in previous roles. We’re looking for candidates who can mentor teams and provide strategic advice.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to find someone who can shape innovative data solutions, so don’t miss out on this opportunity!
We think you need these skills to ace Databricks Data Architecture Lead
Some tips for your application 🫡
Show Your Technical Expertise: Make sure to highlight your deep technical knowledge in data platforms and your experience with Databricks. We want to see how you've shaped innovative solutions in the past, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Databricks Data Architecture Lead role. We love seeing candidates who take the time to align their skills with what we’re looking for.
Demonstrate Leadership Skills: Since this role involves mentoring teams and advising clients, share examples of how you’ve led projects or guided others in their work. We’re keen on seeing your ability to drive engineering excellence!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Simpson Associates
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge. Be prepared to discuss specific features, functionalities, and how you've used them in past projects. This will show that you're not just familiar with the platform but can leverage it effectively.
✨Showcase Your Architectural Skills
Prepare to talk about your experience in architecting enterprise solutions. Bring examples of past projects where you led the architecture process, highlighting the challenges you faced and how you overcame them. This will demonstrate your capability as a Technical Champion.
✨Mentorship Matters
Since mentoring teams is part of the role, think of instances where you've successfully guided others. Be ready to share your approach to mentoring and how it has positively impacted team performance and project outcomes.
✨Emphasise Engineering Excellence
Familiarise yourself with best practices in data engineering. Be prepared to discuss how you ensure quality and excellence in your work and how you would instil these values in your team. This will resonate well with their focus on driving engineering excellence.
