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- Tasks: Provide technical assistance on data engineering and cloud technology projects.
- Company: Leading data and AI company with a focus on innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and help clients unlock their data potential.
- Qualifications: Extensive experience in data platforms and proficiency in Python or Scala.
- Other info: Occasional travel to customer sites for collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading data and AI company is seeking a Big Data Solutions Architect to join their Professional Services team. This remote role involves providing technical assistance on data engineering, data science, and cloud technology projects.
Ideal candidates will have:
- Extensive experience in data platforms
- Proficiency in Python or Scala
- Familiarity with AWS, Azure, or GCP
This position requires collaboration with clients on various projects to maximize their data potential while traveling occasionally to customer sites.
Senior Data Platform Architect – Big Data & Databricks (Remote) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Architect – Big Data & Databricks (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Platform Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in data engineering and cloud technologies. We want to see your expertise in action, especially with tools like Databricks and AWS.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python or Scala knowledge and be ready to discuss your experience with big data solutions. We recommend practising common interview questions related to data platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our Professional Services team!
We think you need these skills to ace Senior Data Platform Architect – Big Data & Databricks (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and cloud technologies. We want to see how your skills in Python or Scala shine through, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for data engineering. Share specific examples of projects you've worked on that relate to the role – we love a good story!
Showcase Your Collaboration Skills: Since this role involves working closely with clients, let us know about your teamwork experiences. Highlight any instances where you’ve successfully collaborated on data projects to maximise outcomes.
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 this exciting opportunity!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data platforms, especially Big Data technologies and Databricks. Be ready to discuss your experience with Python or Scala, and how you've used these languages in past projects. The more specific examples you can provide, the better!
✨Familiarise Yourself with Cloud Services
Since this role involves working with AWS, Azure, or GCP, it’s crucial to understand the strengths and weaknesses of each platform. Prepare to talk about any projects where you've leveraged these cloud services, and be ready to explain your decision-making process.
✨Showcase Your Collaboration Skills
This position requires working closely with clients, so be prepared to share examples of how you've successfully collaborated on projects in the past. Highlight your communication skills and how you’ve helped clients maximise their data potential.
✨Be Ready for Problem-Solving Questions
Expect some technical problem-solving questions during the interview. Practice explaining your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical skills.
