Databricks Platform Engineering ManagerAbout the Role
We are looking for a hands-on Databricks Platform Engineering Manager to help establish and mature our data platform engineering capability.
This is the first dedicated platform engineering role within the Data Transformation function, so the successful candidate will play a foundational role in shaping how we build, operate, govern and continuously improve our modern data platform. The role combines hands-on engineering, operational ownership and technical leadership across Databricks, cloud infrastructure, platform automation, observability, security and developer enablement.
You will be responsible for ensuring that our Databricks and Lakehouse environments are secure, reliable, scalable, cost-effective and easy for data teams to use. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Product teams and business stakeholders to provide a governed, high-performing platform that enables faster delivery of data products, analytics and AI-enabled capabilities.




This is not a traditional support or administration role. It is a platform engineering role focused on building reusable capabilities, automation, standards and self-service patterns that allow teams to deliver safely and efficiently at scale.
What the Job InvolvesPlatform Engineering and Architecture
Design, build and maintain scalable, secure and highly available Databricks and Lakehouse platform environments.
Establish the core engineering patterns, standards and guardrails for Databricks platform usage.
Administer and optimise Databricks workspaces, clusters, SQL Warehouses, Unity Catalog, Delta Lake and related platform services.
Develop reusable platform templates, reference architectures and self-service capabilities to accelerate adoption across data teams.
Shape workplace strategies across development, test, production and controlled experimentation.
Evaluate emerging Databricks, cloud and data platform capabilities, a

📌 Senior Data Platform Engineering Manager (Mumbai)
🏢 Crisil
📍 Mumbai