Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design of scalable data solutions and guide clients on data strategies.
- Company: Join Microsoft, a leader in tech innovation and data solutions.
- Benefits: Competitive salary, career development opportunities, and a high-performance culture.
- Other info: Dynamic work environment with opportunities for professional growth.
- Why this job: Make an impact by optimising data platforms for enterprise clients.
- Qualifications: Deep expertise in Databricks and experience in data architecture.
The predicted salary is between 60000 - 80000 £ per year.
Microsoft is looking for an experienced Data Architect in Manchester to provide technical leadership across end-to-end data programmes. The ideal candidate will have deep expertise in Databricks and will be responsible for architecting scalable data solutions, guiding clients on data strategies, and implementing high-performing architectures.
You'll work with enterprise clients, optimize platforms, and drive analytics initiatives, contributing to career development in a high-performance culture.
Databricks Lakehouse Architect: Lead Data Solutions employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Databricks Lakehouse Architect: Lead Data Solutions
✨Tip Number 1
Network like a pro! Reach out to professionals in the data architecture field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your experience with Databricks and any successful projects you've led. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. We recommend practising with a friend or using mock interview platforms to build 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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Databricks Lakehouse Architect: Lead Data Solutions
Some tips for your application 🫡
Show Off Your Expertise: When you're writing your application, make sure to highlight your deep expertise in Databricks. We want to see how you've architected scalable data solutions in the past, so don’t hold back on those details!
Tailor Your Application: Make your application stand out by tailoring it to the job description. Use keywords from the listing, like 'technical leadership' and 'data strategies', to show us you’re the perfect fit for the role.
Be Clear and Concise: We appreciate clarity! Keep your application clear and to the point. Use bullet points where possible to make it easy for us to see your achievements and skills at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Microsoft
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be prepared to discuss specific projects where you've implemented Databricks solutions, and how you've tackled challenges in data architecture. This will show your deep expertise and ability to lead data programmes.
✨Showcase Your Leadership Skills
Since the role involves providing technical leadership, think of examples where you've guided teams or clients through complex data strategies. Prepare to share how you’ve influenced decisions and optimised platforms in previous roles, as this will highlight your capability to lead effectively.
✨Understand the Client's Needs
Research Microsoft’s current data initiatives and challenges they might be facing. Tailor your responses to demonstrate how your experience aligns with their goals. This shows that you’re not just a fit for the role, but also genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect to face some technical questions related to data architecture and analytics. Brush up on key concepts and be ready to solve problems on the spot. Practising with mock interviews can help you articulate your thought process clearly, which is crucial for a role like this.