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- Tasks: Design and implement big data solutions for exciting AI and analytics 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 make a real impact in the world of big data.
- Qualifications: Experience in data engineering and proficiency in Python or Scala.
- Other info: Expect some travel to customer sites, up to 10% of the time.
The predicted salary is between 43200 - 72000 £ per year.
A leading data and AI company is seeking a Big Data Solutions Architect for a remote role in the United Kingdom. The ideal candidate will possess extensive experience in data engineering and comfort with programming in Python or Scala.
Responsibilities include:
- Working on impactful customer projects
- Consulting on architecture
- Providing technical support
Applicants who thrive in dynamic environments and have a passion for big data solutions are encouraged to apply. Travel to customer sites is expected up to 10% of the time.
Remote Big Data Architect for AI & Analytics Solutions employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Big Data Architect for AI & Analytics Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your big data projects, especially those involving Python or Scala. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common big data architecture questions. We recommend practising with a friend or using mock interview platforms to get comfortable discussing your experience and solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Big Data Architect for AI & Analytics Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and your programming skills in Python or Scala. We want to see how your background aligns 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! Share your passion for big data solutions and how you thrive in dynamic environments. Let us know why you’re excited about this role and what you can bring to our team.
Showcase Your Impact: When detailing your past experiences, focus on the impact you’ve made in previous roles. We love to see quantifiable results, so if you’ve improved processes or delivered successful projects, make sure to highlight those 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’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your data engineering skills, especially in Python and Scala. Be ready to discuss specific projects where you've implemented big data solutions, as this will show your hands-on experience and technical prowess.
✨Understand the Company’s Vision
Research the company’s recent projects and their approach to AI and analytics. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to impactful customer projects.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world challenges in big data architecture. Think of examples from your past experiences where you solved complex problems or improved processes, and be ready to explain your thought process.
✨Show Your Passion for Big Data
Let your enthusiasm for big data solutions shine through during the interview. Share any personal projects or continuous learning efforts you've undertaken in this field, as it shows you're proactive and dedicated to staying ahead in a dynamic environment.
