About the job
P-1346
At Databricks, we are committed to empowering data teams to tackle some of the most challenging global issues — from transforming the future of transportation to speeding up medical advancements. Our mission is fulfilled by developing and maintaining the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their business operations. Founded by engineers who prioritize customer satisfaction, we eagerly embrace every challenge, whether it’s creating next-generation UI/UX for data interaction or expanding our services across millions of virtual machines. Our Databricks Mosaic AI presents a groundbreaking data-centric method for constructing enterprise-grade Machine Learning and Generative AI solutions, allowing organizations to securely and cost-effectively manage ML and Generative AI models, enriched or trained with their own data.
The Money team at Databricks is dedicated to maximizing the value our customers gain from their data project investments. We achieve this through innovative monetization strategies, precise billing, cost optimization instruments, intelligent resource management, and advanced engineering practices. Our goal is to deliver a seamless and coherent experience across all Databricks products for our clients.
As one of the initial engineers for the Money team at Databricks India, you will play a vital role in establishing the foundation for one of Databricks’ core engineering teams. You will be responsible for essential components that support our products, beginning with Databricks’ resource admission control and usage governance framework. Your contributions will be pivotal in harmonizing various business requirements, including abuse prevention, product commercialization processes, and ensuring reliable product availability at scale. You will collaborate closely with infrastructure and product teams to deliver critical governance features to Databricks customers.
Your Impact:
- Oversee Money systems and services that regulate the usage of all Databricks offerings.
- Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, testing frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
- Work alongside platform and product teams to design and implement innovative infrastructure that adapts to evolving requirements.
- Provide leadership in the long-term vision and requirement development for Databricks products, in collaboration with our engineering teams.
- Represent Databricks at academic and industry conferences & events.

