Databricks Platform Engineer

Marsh McLennan

. Provide Level 2 support for Databricks workspaces, clusters, jobs/workflows, pools, libraries, runtime versions, and configurations across dev/test/prod .

Posted 11/12/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Level 2 support for Databricks and Apache Spark ecosystems, with strong troubleshooting skills for job and cluster issues. Proficient in cloud operations, ITIL practices, and maintaining operational documentation.

Highest-signal resume keywords

Databricks SupportApache Spark TroubleshootingAWS FundamentalsAzure FundamentalsScripting with Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform OperationsJob Workflow ManagementCluster ConfigurationPerformance TriageLibrary ManagementIncident ManagementChange ManagementRoot Cause AnalysisContinuous ImprovementUnity Catalog Management

Soft Skills

Customer CommunicationProblem-SolvingCollaboration

Tools & Technologies

ITSM ToolsCloud PlatformsMonitoring ToolsRunbooksSOPs

Certifications & Qualifications

Bachelor’s Degree in Computer Science/Engineering

Industry Keywords

ITIL PracticesGovernance ConceptsAccess ControlsSecrets HandlingAudit Logging

Tech Stack

Tools & technologies

ApacheAWSAzureCloudITSMPythonSparkUnity

About the role

Key responsibilities & impact

Provide Level 2 support for Databricks workspaces, clusters, jobs/workflows, pools, libraries, runtime versions, and configurations across dev/test/prod
Monitor platform health and job execution; respond to alerts and production issues within defined SLAs
Troubleshoot cluster start failures, job failures, library conflicts, connectivity errors, quota/limit constraints, and permission issues
Escalate complex issues to L3/engineering/vendors with diagnostics, logs, and reproduction steps
Support Unity Catalog operations and features such as Open Share
Handle incidents, service requests, and problems through ITSM processes
Maintain accurate ticket notes and customer communications
Contribute to root cause analysis, corrective/preventive actions, and continuous improvement
Perform standard changes, including runtime upgrades, library updates, cluster policy changes, and Unity Catalog permission updates
Maintain and update runbooks, SOPs, onboarding guides, and troubleshooting knowledge articles
Partner with Cloud and Data Engineering teams to deliver a stable, compliant, and cost-effective platform

Requirements

What you’ll need

Bachelor’s degree in Computer Science/Engineering or equivalent practical experience
3–6 years of experience in platform operations, cloud operations, or data platform support, including exposure to Databricks and/or Apache Spark ecosystems
Hands-on troubleshooting experience with job/workflow failures, cluster start/termination issues, and library/dependency management
Spark configuration basics and performance triage at an L2 level
Working knowledge of AWS and Azure fundamentals, including IAM/identity, networking, storage services, and encryption/key management basics
Familiarity with security practices, including access controls, secrets handling, and audit logging concepts
Scripting/automation skills using Python and/or Bash/PowerShell
Familiarity with governance concepts, including Unity Catalog basics and data access controls
Experience following ITIL-aligned incident, problem, and change management practices
Experience maintaining operational documentation
Ability to participate in on-call rotation and/or shift coverage for production workloads

Benefits

Comp & perks

Hybrid work with flexibility to work remotely
Collaboration, connections and professional development benefits from working together in the office
Inclusive work environment
On-call rotation and/or shift coverage for production workloads