Staff Software Engineer - Data Platform

Databricks; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

A leading data and AI company is seeking a Staff Software Engineer to build and manage their Data Intelligence Platform. The role involves designing cross-company metrics, ensuring efficiency across multi-cloud environments, and enhancing data processing capabilities. Ideal candidates will have over 10 years in distributed systems, proven leadership skills, and the ability to mentor engineers. This role offers competitive benefits and focuses on innovation in data technology.

Qualifications

• 10+ years of experience in building large-scale distributed systems.
• 4+ years of experience in technical leadership on production data systems.
• Ability to operate effectively in cross-functional environments.

Responsibilities

• Design and implement Data Intelligence Platform for Databricks.
• Develop tooling and infrastructure for multi-cloud management.
• Build reliable data pipelines and provide feedback on products.

Skills

Technical leadership

Large-scale distributed systems

Strong communication

Mentoring

Strategic mindset

Education

BS/MS/PhD in Computer Science or related majors

Job description

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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers and customer obsessed, we leap at every opportunity to tackle technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines, and we're only getting started.

As a Staff Software Engineer working on the Data Platform team, you will leverage bleeding‑edge AI developer tools and techniques to help build the Data Intelligence Platform for Databricks that will allow us to automate decision‑making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, and many more, defining the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers.

Impact You Will Have

• Design and run the cross‑company Data Intelligence Platform, which contains every business and product metric used to run Databricks, playing a key role in developing the right balance of data protection and ease of shareability as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks at scale across multiple clouds, geographies, and deployment types, including CI/CD processes, test frameworks for pipelines and data quality, and infrastructure‑as‑code tooling.
• Partner with engineering teams to provide leadership in developing the long‑term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools, providing early feedback on the design and operations of these products.
• Represent Databricks at academic and industrial conferences & events.

What We Look For

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 10+ years of industry experience building and operating large‑scale distributed systems.
• 4+ years of experience providing technical leadership on planet‑scale production data systems.
• Experience leading architecture efforts for performance‑sensitive systems (e.g., latency‑critical services, multi‑tenant platforms, large‑scale indexing pipelines).
• Strong communication skills and the ability to operate effectively in fast‑paced, cross‑functional environments.
• A strategic mindset with the ability to align engineering execution with longer‑term product and company goals.
• Passion for mentoring and developing other engineers.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™️, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.