P-375
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.
The Core Experiences Platforms Org in Bangalore is responsible for the main set of platforms to access and interact with core assets such as Workspaces, Notebooks, SQL queries and the necessary serving infrastructure to power multiple User Experiences.
Databricks is experiencing very high growth, and several critical services rely on the platforms of the Core Experiences Platforms Org. We are focused on redesigning our systems to support the next stage of growth. This is an opportunity for you to be owning several critical next generation infrastructure for databricks, and be a central part of databricks' growth.
We are seeking exceptional technical leaders with a stellar track record to drive these transformative efforts.
Your role will be crucial in:
- Complete ownership of multiple platforms: You will be responsible for defining and owning execution on a few dimensions of critical importance for the company: scalability, pjatformization, reliability.
- Platformize serving infrastructure: Design abstractions that can support a wide range of current as well as emerging use cases (such as AI), determine the right tradeoffs and build consensus across Databricks to create as well as scale seamless product experiences for customers. Drive cross org impact, collaborate and build consensus among different stakeholders across several functions.
- Re-architecting Platforms for scale: Redesign our existing systems to handle 10X to 100X increase in scale.
- Build amazing developer experience: Revolutionize platform onboarding to cut down time from weeks to mere hours, enhancing efficiency and user experience.
- Developing Impactful Features: Create features that significantly enhance both product functionality and end-user experience, driving meaningful improvements across Databricks.
- Fostering Engineering Excellence: Cultivate a strong engineering culture focused on quality and productivity, setting a high standard for the team.
- Mentoring Future Leaders: Act as a role model for junior team members, guiding their growth and development.
What we look for:
- 12+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- BS (or higher) in Computer Science, or a related field
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures.
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 click here.
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.
Skills Required
- 12+ years of production level experience in Python, Java, Scala, C++, or similar language
- BS (or higher) in Computer Science or related field
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
