Job Description

The Role

We are looking for a Databricks Platform SME to join Version 1’s Data & AI Practice, with robust Databricks expertise and the ability to take primary ownership of our Databricks platform. You will be responsible for Databricks administration, governance, entitlements, performance optimisation, and overall operational management, while contributing to scalable, cloud-native data solutions that enable analytics and AI at scale.

This is a delivery-focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of platform outcomes, and applies strong engineering discipline in real-world environments.

What You’ll Be Doing

- Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms
- Taking primary ownership of the Databricks platform, including administration, governance, entitlements, optimisation, and operational management
- Managing Databricks workspaces, users, groups,



access controls, platform configuration, performance, reliability, and cost efficiency
- Building and maintaining cloud‑native data solutions on AWS
- Supporting production systems by troubleshooting issues and implementing continuous improvements
- Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
- Optimising data performance, reliability, and data quality in live environments
- Designing, building, and operating batch and streaming data pipelines
- Developing high‑throughput, low‑latency data processing systems
- Orchestrating data workflows using Airflow or similar orchestration tools
- Writing clean, efficient, and well‑tested code following software engineering best practices
- Collaborating closely with product, analytics, and platform teams

📌 Databricks SME (Mumbai)
🏢 Version 1
📍 Mumbai