Databricks Platform Support Engineer, L2

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 10/7/2026full-timeGurugram • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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

Highest-signal resume keywords

Databricks SupportCloud OperationsIncident ManagementScripting with PythonAWS and Azure Fundamentals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform OperationsTroubleshootingJob/Workflow FailuresCluster ManagementSpark ConfigurationData Access ControlsITIL PracticesOperational DocumentationUnity CatalogDynamoDB

Soft Skills

Customer Support MindsetCommunication SkillsCollaboration

Tools & Technologies

DatabricksApache SparkAWSAzurePowerShellITSM Tools

Certifications & Qualifications

Bachelor’s Degree in Computer Science/Engineering

Industry Keywords

Cloud OperationsData Platform SupportGovernance ConceptsAccess ControlsContinuous Improvement

Tech Stack

Tools & technologies

ApacheAWSAzureCloudDynamoDBITSMPySparkPythonSparkUnity

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 and data access controls
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 such as runtime upgrades, library updates, cluster policy changes, and Unity Catalog permission updates
Maintain and update runbooks, SOPs, onboarding guides, and troubleshooting knowledge articles
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
7–10 years of experience in platform operations, cloud operations, or data platform support
Exposure to Databricks and/or Apache Spark ecosystems
Hands-on troubleshooting of 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, encryption, and key management
Familiarity with access controls, secrets handling, and audit logging
Scripting/automation skills using Python and/or PySpark/PowerShell
Familiarity with governance concepts, including Unity Catalog basics and data access controls
Experience with ITIL-aligned incident, problem, and change management practices
Experience maintaining operational documentation
Experience with DynamoDB is a plus
Ability to participate in on-call rotation and/or shift coverage
Strong customer support mindset and ability to communicate with technical and non-technical stakeholders
Ability to prioritize multiple production issues and meet SLAs
Collaborative approach across Cloud, Security, and Data Engineering teams

Benefits

Comp & perks

Professional development opportunities
Interesting work and supportive leaders
Inclusive and flexible work environment
Career opportunities
Benefits and rewards to enhance well-being
Flexible remote working and collaboration options within Marsh’s hybrid work model