Databricks Platform Engineer

About this kind of role

What a Databricks Platform Engineer usually does. The employer's own details are in the listing.

Typically does: A Databricks Platform Engineer focuses on building, maintaining, and optimizing the Databricks environment for data engineers, data scientists, and analysts. This involves automating infrastructure provisioning, managing cluster configurations, and ensuring the platform’s stability and security. They often collaborate with various teams to integrate Databricks with other data tools and services, and troubleshoot platform-related issues. Responsibilities can also include performance tuning and implementing best practices for data processing and storage.

Tools and skills: Proficiency in Python, SQL, Linux administration, cloud platforms (like AWS, Azure, or GCP), and experience with infrastructure-as-code tools such as Terraform or Ansible are typically required.

Good fit for: Individuals with a strong background in data engineering, DevOps, or system administration, and a passion for enabling data-driven innovation, often thrive in this role.