Databricks Platform Engineer

Marsh McLennan

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

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Databricks platform operations, including troubleshooting, incident management, and cloud fundamentals. Proficient in scripting and automation, with a strong focus on customer support and collaboration across technical teams.

Highest-signal resume keywords

Databricks Platform OperationsIncident ManagementScripting/Automation with PythonAWS and Azure FundamentalsITIL-Aligned Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TroubleshootingCluster ManagementJob/Workflow FailuresSpark ConfigurationLibrary ManagementPerformance TriageUnity Catalog OperationsChange ManagementOperational DocumentationService Request Handling

Soft Skills

Customer Support MindsetStructured TroubleshootingCommunication with StakeholdersPrioritization in ProductionCollaborative Approach

Tools & Technologies

DatabricksApache SparkAWSAzureITSM ToolsPythonBashPowerShell

Certifications & Qualifications

Bachelor’s Degree in Computer Science/Engineering

Industry Keywords

Cloud OperationsData Platform SupportGovernance ConceptsAccess ControlsAudit LoggingSecurity Practices

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 development, test, and production environments
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, or vendors with diagnostics, logs, and reproduction steps
Support Unity Catalog operations
Handle incidents, service requests, and problems through ITSM processes; maintain 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
Support features such as Open Share
Participate in on-call rotation and/or shift coverage for production workloads
Partner with Cloud and Data Engineering teams to deliver a stable, compliant, and cost-effective Databricks 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 and dependency management
Spark configuration basics and performance triage at an L2 level
Working knowledge of AWS and Azure fundamentals, including IAM/identity, networking concepts, 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 practices for incident, problem, and change management
Experience maintaining operational documentation
Strong customer support mindset and ability to communicate with technical and non-technical stakeholders
Structured troubleshooting and incident handling skills
Ability to prioritize multiple issues in a production environment and meet SLAs
Collaborative approach across Cloud, Security, and Data Engineering teams

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