Databricks Platform Engineer

Location: Gurugram - DLF Building

Company

Description

MARSH & MCLENNAN

Marsh & McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's 76,000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion, Marsh & McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions.

Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations meet the health, wealth and career needs of a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit mmc.com, follow us on LinkedIn and Twitter @mmc_global or subscribe to BRINK.

MARSH

Marsh is the world’s leading insurance broker and risk adviser. With over 35,000 colleagues operating in more than 130 countries, Marsh serves commercial and individual clients with data driven risk solutions and advisory services. Marsh is a business of Marsh & McLennan Companies (NYSE: MMC), the leading global professional services firm in the areas of risk, strategy and people. With annual revenue approaching US $17 billion and 76,000 colleagues worldwide, MMC helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman.

Follow Marsh on Twitter @MarshGlobal; LinkedIn; Facebook; and YouTube, or subscribe to BRINK.

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.

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, 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.
• Scripting/automation skills (Python and/or Bash/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.

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 Engineering teams.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Additional Locations: Noida - Sector 135