Posted:2 days ago| Platform: Linkedin logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

Experience Required:

Work Location:

Role Overview:

Databricks Administrator

Key Responsibilities:

  • Databricks Platform Administration:

  • Manage and maintain Databricks workspaces, clusters, jobs, pools, and libraries.
  • Monitor performance and optimize resource utilization across environments (dev, test, prod).
  • Implement autoscaling, cluster policies, and cost control measures.
  • Security & Access Management:

  • Configure and maintain user/group access via Azure AD or IAM integration.
  • Implement fine-grained access control using Unity Catalog and role-based permissions.
  • Ensure compliance with enterprise data security standards.
  • Automation & CI/CD:

  • Automate cluster provisioning, job deployment, and workspace management using Terraform, Databricks CLI, or REST APIs.
  • Integrate Databricks with CI/CD tools like Azure DevOps, Jenkins, or GitHub Actions.
  • Monitoring & Troubleshooting:

  • Proactively monitor cluster health, job performance, and data pipeline stability.
  • Diagnose and resolve system, configuration, and performance issues.
  • Implement alerting, logging, and audit trail monitoring.
  • Integration & Collaboration:

  • Work with Data Engineers, DevOps, and Cloud teams to ensure smooth data operations.
  • Support integration with Snowflake, Kafka, Azure Data Lake, or AWS S3.
  • Collaborate on optimizing Spark configurations and ETL performance.
  • Governance & Compliance:

  • Implement best practices for workspace and notebook governance.
  • Manage version control for notebooks and data pipelines.
  • Enforce tagging, cost allocation, and audit standards.

Required Skills & Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in Data Engineering or Platform Administration, with at least

    3+ years in Databricks Administration

    .
  • Strong understanding of

    Apache Spark architecture

    and performance tuning.
  • Hands-on experience with

    Azure Databricks

    or

    AWS Databricks

    environments.
  • Proficiency with

    Terraform

    ,

    Databricks CLI

    ,

    REST APIs

    , and

    CI/CD pipelines

    .
  • Expertise in

    cluster configuration, job scheduling, and resource optimization

    .
  • Familiarity with

    Unity Catalog

    ,

    Delta Lake

    ,

    DBFS

    , and

    Lakehouse architecture

    .
  • Experience integrating Databricks with

    ADLS, S3, Snowflake, Synapse, or Redshift

    .
  • Strong problem-solving and scripting skills (Python, Shell, or PowerShell).

Mock Interview

Practice Video Interview with JobPe AI

Start DevOps Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

RecommendedJobs for You

ahmedabad, gujarat, india

Bengaluru, Karnataka, India