Job Description

The Role

We are looking for a Databricks Platform SME to join Version 1s Data & AI Practice, with strong 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 solid 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 cloudnative data solutions on AWS
Supporting production systems by troubleshooting issues and implementing continuous improvements
Ensuring solutions are productionready: secure, tested, observable, and costefficient
Optimising data performance, reliability, and data quality in live environments
Designing, building, and operating batch and streaming data pipelines
Developing highthroughput, lowlatency data processing systems
Orchestrating data workflows using Airflow or similar orchestration tools
Writing clean, productive, and welltested code following software engineering best practices
Collaborating closely with product, analytics, and platform teams

Qualifications

What You’ll Bring
8+ years’ experience in handson data platform engineering roles
Robust Databricks expertise, including platform administration, entitlements/access management, governance,

📌 Databricks Sme Bengaluru
🏢 hackajob
📍 Bengaluru