Here’s the breakdown of how to find Databricks job opportunities and things to keep in mind:

Where to Find Databricks Jobs

• Databricks Careers Website:  The most direct source! (https://www.databricks.com/company/careers) 
  • Filter positions by location, department, and more.
  • Get insights into the company culture and Databricks’ mission.
  • Major Job Boards:LinkedIn: (https://www.linkedin.com/jobs/) Search for “Databricks” along with your desired role.
  • Indeed: (https://www.indeed.com/) Similar search functionality as LinkedIn.
  • Glassdoor: (https://www.glassdoor.com/) Access company reviews and potential interview questions.
  • Specialized Tech Job Boards:Dice: (https://www.dice.com/)
  • AngelList:  (https://angel.co/) (Good for potential startup opportunities related to Databricks)

Specific Skills and Roles

Databricks frequently hires for positions like:

• Data Engineer:  Experience with Spark, Python, SQL, data pipelines, and ETL.
• Software Engineer (Data Platforms):  Strong Java/Scala skills and distributed systems experience.
• Machine Learning Engineer:  Deep learning frameworks (TensorFlow, PyTorch), Databricks MLflow is a bonus.
• Solutions Architect: Cloud technologies (AWS, Azure, GCP), consulting experience.
• Sales, Customer Success, Marketing: Roles focused on Databricks’s growth and customer relationships.

Databricks University Recruiting

• If you’re a student or recent graduate, check their dedicated program: https://www.databricks.com/company/careers/university-recruiting

Tips

• Tailor Your Resume:  Highlight projects and skills relevant to the specific job descriptions.
• Network: LinkedIn is great for connecting with Databricks employees and recruiters.
• Know Your Stuff: Brush up on core data engineering concepts, Spark, and the Databricks platform.

Important Note: Job availability and specific requirements change frequently, so check the current openings on the platforms listed above for the most up-to-date information.