Databricks Cloud Admin

Responsibilities

• The candidate will work on building, scaling, and monitoring highly complex BigData platform on Databricks, Snowflake DB and ElasticSearch cloud.
• The candidate will work on building, scaling, and monitoring Data science and ML hosting platform based on Databricks.
• The candidate will be responsible for defining and implementing our Data platform, Data science workbench with ML hosting technology strategies in the Cloud.
• The candidate will also involve to design our architecture and define our roadmap.
• The candidate will be responsible to implement monitoring, alerting and observability solutions using CSP standard monitoring and analytical tools and also 3rd party tools like Zabbix and Datadog SaaS.
• The candidate has to be an expert in Docker and Cloud based containerization technologies.
• The candidate will also be responsible for building and improving our CI/CD pipelines and keeping themselves and their team up-to-date with the latest industry trends and technologies.
• Develop automation scripts in Terraform, YAML, Helm charts, az cli, aws-cli, Powershell and other cloud APIs.
• Participate in developer interaction calls and help.
• Participate in Management update calls and provide precise, timely updates.

Skillset:

• Operations or systems administration experience, particularly on Linux.
• Hands-on administration experience, from setting up the Databricks environment to successfully administering it.
• Experience as the Databricks account owner, managing workspaces, Unity Catalog, audit logs, and high-level usage monitoring
• Experience as Databricks workspace admin, managing workspace users and groups including single sign-on, provisioning, access control, and workspace storage.
• Experience Databricks administration configuring and installing libraries
• Experience managing storage accounts access across a large user base
• Experience managing cluster and jobs, policies, templates, pools configuration options
• Experience with Databricks security and privacy setup
• Experience troubleshooting end user and platform-level issues
• Experience optimizing usage for performance and cost preferred
• Experience in strategizing and implementing Disaster recovery for BigData platforms based on Databricks.
• Ability to multitask and reprioritize tasking on the fly according to the needs of a growing platform and its stakeholders
• Strong coding skills in SQL and Python (PySpark) with experience optimizing code
• Assist in N/W, Data security, IAM initiatives. Work with n/w team to create PEs, troubleshoot network issues etc.