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- Tasks: Design and deliver modern data solutions using Databricks Lakehouse Architecture.
- Company: Leading consultancy partnered with Microsoft, focused on innovative data strategies.
- Benefits: Hybrid working options, competitive salary, and opportunities for professional growth.
- Why this job: Lead exciting data programs and optimise strategies for enterprise clients.
- Qualifications: Strong background in data modeling and Databricks engineering required.
- Other info: Work from Manchester, Edinburgh, or London in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading Microsoft partnered consultancy is looking for an experienced Data Architect to design and deliver modern data solutions based on Databricks Lakehouse Architecture. The role includes providing technical leadership on data programs and engaging with enterprise clients to optimize their data strategies. With a focus on scalable architecture and data governance, this position allows for hybrid working from locations including Manchester, Edinburgh, or London. The ideal candidate will possess a strong background in data modeling and Databricks engineering.
Hybrid Databricks Lakehouse Architect | Data Strategy Lead in Manchester employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Databricks Lakehouse Architect | Data Strategy Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data space, especially those who work with Databricks or in consultancy. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects related to data architecture and Databricks. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've optimised data strategies in previous roles and how you can do the same for them.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid Databricks Lakehouse Architect | Data Strategy Lead in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and data architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Since this role involves technical leadership, make sure to detail your expertise in data modeling and engineering. We’re looking for specific examples of how you’ve tackled challenges in past projects.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferson Frank
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand the Lakehouse Architecture thoroughly, including its benefits and how it optimises data strategies. Be ready to discuss specific projects where you've implemented Databricks solutions.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling. Have examples ready that demonstrate your ability to design scalable architectures. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Engage with Real-World Scenarios
Expect scenario-based questions that assess your technical leadership. Think of situations where you've led data programmes or worked with enterprise clients. Be prepared to explain your thought process and decision-making in those scenarios.
✨Emphasise Data Governance Knowledge
Data governance is crucial for this role, so be ready to discuss your understanding of it. Talk about how you've implemented governance frameworks in past projects and how they contributed to the success of data strategies.