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For Companies At a Glance
- Tasks: Design innovative data solutions and tackle big data challenges with clients.
- Company: Global leader in data and AI, fostering a collaborative environment.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on customer projects while advancing your career in data.
- Qualifications: Extensive experience in data engineering, cloud platforms, and proficiency in Python or Scala.
- Other info: Join a dynamic team and drive data-driven solutions in a fast-paced industry.
The predicted salary is between 48000 - 72000 £ per year.
A global data and AI company is hiring a Data Platform Solutions Architect. This hybrid role in London involves working with clients on big data challenges, designing reference architectures, and providing escalated support.
The ideal candidate should have:
- Extensive experience in data engineering and cloud platforms
- Proficiency in Python or Scala
- A proven track record in managing technical projects
This is a unique opportunity to contribute to impactful customer projects while promoting data driven solutions.
Senior Data Platform Architect (Big Data & AI) employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Architect (Big Data & AI)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects in data engineering and cloud platforms. Use GitHub or a personal website to display your work. This way, potential employers can see your expertise in action!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to big data and AI. Practice explaining your past projects and how you tackled challenges. We want you to feel confident and ready to impress!
✨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. Let’s get you that Senior Data Platform Architect role!
We think you need these skills to ace Senior Data Platform Architect (Big Data & AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Platform Architect role. Highlight your expertise in data engineering, cloud platforms, and any relevant projects you've managed.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've tackled big data challenges and designed solutions that made an impact.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python or Scala! We want to see how you’ve applied these skills in real-world scenarios, so include any relevant projects or achievements.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Databricks Inc.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of big data technologies and cloud platforms. Be ready to discuss specific projects where you've tackled data challenges, as this will show your hands-on experience and understanding of the field.
✨Showcase Your Technical Skills
Since proficiency in Python or Scala is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms or data manipulation tasks beforehand.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach real-world data problems. Think about past experiences where you designed reference architectures or provided escalated support, and be ready to explain your thought process and decision-making.
✨Highlight Your Project Management Experience
This role requires managing technical projects, so be prepared to discuss your project management style. Share examples of how you've led teams, met deadlines, and delivered successful outcomes, as this will demonstrate your leadership capabilities.
