# Databricks Platform Lead at Marsh McLennan

AI Level 1, AI centrality 33 out of 100. Gurugram - DLF Building.

## Details

- Company: [Marsh McLennan](https://jobsbylevel.com/companies/marsh-mclennan)
- AI level: AI Level 1 (score 33 out of 100)
- Location: Gurugram - DLF Building
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/f273ab3d-acc4-4686-97a6-8a6069925609

## Description

Company: Marsh Description: We are seeking a talented individual to join our Application Management System team at Marsh People and Investments, a Marsh business. This role will be based in Gurugram/Noida/Pune. This is a hybrid role that has a requirement of working at least three days a week in the office. The Databricks Platform Support Engineer (L2) supports the reliability, performance, and security of Marsh’s Databricks analytics platform across AWS and Azure, including Unity Catalog governance . This role provides day-to-day operational support for Databricks workspaces and compute, resolves incidents and service requests, assists with standard changes and upgrades, and partners with Cloud and Data Engineering teams to deliver a stable, compliant, and cost-effective platform. What can you expect: The Databricks Platform Support Engineer (L2) supports the reliability, performance, and security of Marsh’s Databricks analytics platform across AWS and Azure, including Unity Catalog governance . This role provides day-to-day operational support for Databricks workspaces and compute, resolves incidents and service requests, assists with standard changes and upgrades, and partners with Cloud and Data Engineering teams to deliver a stable, compliant, and cost-effective platform. We will count on you to: Daily operations responsibilities include following items/activities: 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 common operational issues (cluster start failures, job failures, library conflicts, connectivity errors, quota/limit constraints, permission issues). Escalate complex issues to L3/engineering/vendor with complete diagnostics, logs, and reproduction steps. Support Unity Catalog operations Handle incidents, service requests, and problems through ITSM processes; maintain accurate ticket notes and customer communications. Contribute to Root Cause Analysis (RCA), corrective/preventive actions, and continuous improvement. Perform standard changes (runtime upgrades, library updates, cluster policy changes, UC permission updates) using change control and validation procedures. Maintain and update runbooks/SOPs, onboarding guides, and troubleshooting knowledge articles. Familiar with features like Open Share Participate in on-call rotation and/or shift coverage for production workloads.. What you need to have: 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, including exposure to Databricks and/or Apache Spark ecosystems. Hands-on troubleshooting experience with: Job/workflow failures, cluster start/termination issues, library and dependency management Spark configuration basics and performance triage (at an L2 level) Working knowledge of both AWS and Azure fundamentals (IAM/identity, networking concepts, storage services, encryption/key management basics). Familiarity with security practices: access controls, secrets handling, audit logging concepts. Experienced in scripting/automation skills (Python and/or Pyspark/PowerShell) for operational tasks. Familiarity with governance concepts (e.g., Unity Catalog basics) and data access controls. Experience following ITIL-aligned practices (incident, problem, and change management) and maintaining operational documentation. Experience with DynamoDB is a plus. What makes you stand out: Strong customer support mindset; ability to communicate clearly with technical and non-technical stakeholders. Structured troubleshooting and incident handling; good ticket hygiene and documentation habits. Ability to prioritize multiple issues in a production environment and meet SLAs. Collaborative approach across Cloud, Security, and Data

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Source: https://jobsbylevel.com/jobs/databricks-platform-lead-at-marsh-mclennan-287317

## Cite this page

Level. https://jobsbylevel.com/jobs/databricks-platform-lead-at-marsh-mclennan-287317.

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