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Databricks Administration

Databricks Administration

Infosys
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

  • Primary skills:Technology->Data Engineering->Databricks

Key Responsibilities:

  • Administer and maintain Databricks workspaces, clusters, and compute policies to ensure high availability and performance.
  • Configure and manage user access, roles, permissions, and workspace governance aligned to security best practices.
  • Monitor platform health, job reliability, cluster utilization, and troubleshoot failures across notebooks, jobs, and connectivity.
  • Implement cost optimization practices such as cluster sizing, auto-scaling, scheduling, and usage reporting.
  • Support integrations with cloud services and storage, ensuring stable connectivity and secure data access patterns.
  • Create and maintain operational documentation, runbooks, and standard procedures for recurring administration tasks.
  • Partner with engineering and data teams to onboard workloads, enforce standards, and improve platform usability.
  • Assist with incident response, root-cause analysis, and continuous improvements to reduce operational risk. Minimum Qualifications:
  • Bachelor's degree or equivalent in Engineering, Computer Science, MCA, MSc, or related discipline.
  • 3–5 years of experience in platform administration/support with hands-on Databricks Administration.
  • Working experience with cloud platforms and core cloud concepts (networking, IAM, storage, compute).
  • Experience managing access controls, policies, and operational governance in a shared environment.
  • Strong troubleshooting skills with the ability to analyze logs/metrics and resolve platform issues effectively. Preferred Qualifications:
  • Experience operating Databricks on major cloud platforms with an understanding of cloud-native security and governance.
  • Exposure to automation for administrative tasks and environment standardization to improve reliability and speed.
  • Proven ability to drive performance tuning and cost optimization for compute workloads in cloud environments.
  • Experience supporting multiple teams, prioritizing requests, and communicating clearly with technical and non-technical stakeholders.
  • Familiarity with monitoring/alerting practices and building operational dashboards for platform visibility. Good to have skills: Terraform, CI/CD, Python scripting, Monitoring & Alerting (Grafana/Prometheus/CloudWatch), Identity & Access Management (IAM)

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