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Impetus Technologies
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Module Lead Databricks Administrator

Module Lead Databricks Administrator

Impetus Technologies

6 - 11 years

8 - 12 Lacs

Noida Indore Pune

Posted:1 week ago| Platform:

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Skills Required

Automation operational support github Usage Powershell Standard operating procedures data governance Scheduling Cost optimization Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

6+ years of experience in Data Platform Administration, with 2+ years specifically on Databricks-
Strong hands-on experience with Databricks on Azure- Strong knowledge of Spark, Delta Lake, and notebook lifecycle management- Proficient in scripting languages (Python, Bash, PowerShell)- Experience with CI/CD tools (e-g-, Azure DevOps, GitHub Actions, Jenkins)- Familiarity with data governance, RBAC, and security practices in Databricks- Excellent problem-solving, communication, and leadership skills-

Preferred Qualifications:

Databricks Certified Associate/Professional Administrator or Data Engineer- Experience with infrastructure-as-code (Terraform, ARM templates)- Exposure to MLOps and integration with MLflow- Experience managing multi-tenant or enterprise-scale Databricks environments-

Platform Administration:

Install, configure, and maintain Databricks workspaces- Manage user access, cluster policies, pools, libraries, and workspace configurations- Monitor performance, perform tuning, and resolve operational issues- Oversee job scheduling, automation, and alerts-

Team Leadership:

Lead a team of junior administrators and engineers in delivering high-performance Databricks solutions- Assign and track tasks, ensuring project milestones and SLA targets are met- Mentor team members and promote best practices in Databricks administration and data governance-

Operational Support:

Respond to incidents and service requests related to Databricks- Coordinate with cloud platform teams (Azure) for networking, security, and integration requirements- Develop documentation for platform usage, incident handling, and standard operating procedures-

Optimization & Innovation:

Analyze usage patterns and recommend cost optimization strategies- Research and implement new Databricks features and updates- Propose automation and CI/CD practices for efficient platform management-

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Module Lead Databricks Administrator