Databricks Administrator

Get AI-powered advice on this job and more exclusive features. Luminus Analytics is a consulting company that specializes in understanding client businesses and enabling mission outcomes through insightful analytics. Our focus is on delivering high-quality solutions tailored to meet the unique needs of each client. We partner closely with our clients to achieve their strategic goals. Our expertise lies in leveraging advanced analytics to provide actionable insights for better decision-making. Role Description Experienced Databricks Administrator to manage, optimize, and maintain our Databricks environment on the AWS cloud. The ideal candidate will be responsible for workspace administration, cluster configuration, security implementation, and performance tuning. You will play a crucial role in ensuring our data teams have a stable, secure, and efficient platform for analytics and machine learning. Key Responsibilities: Manage Databricks workspaces, clusters, pools, and user access using Identity and Access Management (IAM). Configure and secure the integration between Databricks and AWS services, including S3, Glue, and EC2. Implement and manage security best practices, including network configurations (VPC peering), access control lists (ACLs), and data encryption. Monitor platform performance, troubleshoot issues, and optimize cluster configurations for cost and efficiency. Automate administrative tasks and deployments using scripting (Python/Bash) and CI/CD tools. Support data scientists, engineers, and analysts with their platform-related needs. Qualifications: Proven experience as a Databricks Administrator or Platform Engineer. Strong hands-on experience with core AWS services (S3, IAM, EC2, VPC). Proficiency in scripting languages such as Python or Bash. Experience with infrastructure-as-code (IaC) tools like Terraform or CloudFormation is a plus. Excellent problem-solving and communication skills. Clearances US Government Public Trust or Higher Seniority level

Seniority level Mid-Senior level Employment type

Employment type Contract Job function

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