Databricks Platform Lead

AI in this role

databricks

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:

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 Engineering teams.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

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.

How we rate this

Databricks Platform Lead at Marsh McLennan rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.