What You'll Do:

Install, configure, and maintain Databricks clusters and workspaces.
Monitor cluster performance, resource utilization, and troubleshoot issues to ensure optimal performance.
Implement and manage access controls and security policies to protect sensitive data.
Perform regular software updates and patches.
Provide troubleshooting and issue resolution.
Optimize cluster configurations for performance and cost-effectiveness.
Monitor and manage auto-scaling to ensure resources are allocated efficiently.
Implement and enforce security policies, access controls, and encryption mechanisms.
Stay up-to-date with security best practices and compliance requirements.
Develop and maintain backup and disaster recovery strategies to ensure data integrity and availability.
Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes.
Monitor and manage platform costs, including optimizing resource utilization to control expenses.
Maintain detailed documentation of configurations, procedures, and best practices.
Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts,
To understand their requirements and provide technical solutions

Expertise You'll Bring:

Managing Cluster at Scale, troubleshooting within Databricks and Working with Databricks System tables
Strong knowledge of Databricks infrastructure and administration to support the Analyst community in addressing Databricks-related queries and troubleshooting issues in notebooks,
Good knowledge of AWS, Databricks
Unity catalog, managing cluster, deployment, strong fundamental of DW/DH
Strong in troubleshooting's
Spark/Python either coding skills
Docker, Kubernetes
AWS(S3, Lambda, EMR)
Certified Databricks Engineer

Databricks Admin