Senior Databricks DevOps Engineer

About this kind of role

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

Typically does: Manages and automates the deployment, configuration, and scaling of Databricks environments. This role focuses on ensuring the reliability, performance, and security of data engineering and data science workflows. Responsibilities often include infrastructure as code, continuous integration and continuous delivery pipelines, and monitoring systems. Troubleshooting production issues and collaborating with data teams to optimize their Databricks usage are also common tasks.

Tools and skills: Proficiency in cloud platforms (AWS, Azure, or GCP), scripting languages (Python, Bash), infrastructure-as-code tools (Terraform, CloudFormation), CI/CD tools (Jenkins, GitLab CI), and Databricks APIs is generally required.

Good fit for: Individuals with a strong background in DevOps practices and experience working with big data technologies thrive in this role.