Senior Principal Database Engineer

Marsh; Gurugram District; Hybrid; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work arrangement

Three days in office per week

Job summary

Marsh is seeking a Senior Principal Engineer - Database Administration to join our Application Management System team. The role is based in Gurugram/Noida/Pune with a hybrid setup requiring at least three days in the office weekly, supporting Marsh's Databricks platform across AWS and Azure.

The candidate will provide day-to-day operational support for Databricks workspaces, handle incidents, assist with upgrades, and collaborate with Cloud and Data Engineering teams to ensure a stable,

Qualifications

• Bachelor's degree in Computer Science/Engineering or equivalent practical experience.
• 7-10 years of experience in platform or cloud operations or data platform support, with exposure to Databricks and Spark ecosystems.
• Hands-on troubleshooting for job/workflow failures, cluster issues, library management, and Spark configuration basics.
• Knowledge of AWS and Azure fundamentals (IAM, networking, storage, encryption).
• Familiarity with security practices: access controls, secrets handling, audit logging.
• Scripting/automation in Python and/or PowerShell for ops tasks.
• Governance concepts (Unity Catalog basics) and data access controls.
• ITIL-aligned incident/problem/change management and operational docs.
• Experience with DynamoDB is a plus.

Responsibilities

• Provide L2 support for Databricks workspaces across dev/test/prod.
• Monitor platform health and respond to alerts within SLAs.
• Troubleshoot operational issues and escalate complex cases with diagnostics.
• Support Unity Catalog operations and ITSM ticket handling.
• Contribute to RCA, corrective/preventive actions and continuous improvement.
• Perform standard changes via change control (runtime upgrades, library updates, cluster policy changes, UC permission updates).
• Maintain runbooks/SOPs and onboarding guides.
• Participate in on-call rotation and shift coverage for production workloads.

Skills

Databricks

Troubleshooting

Python scripting

PowerShell

Cloud operations

Unity Catalog knowledge

ITIL practices

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

DynamoDB

Job description

Senior Principal Engineer - Database Administration

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 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.

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.

Experience Level Senior Level