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Sr. Staff Software Engineer - Data Platform

Databricks•Mountain View, California; San Francisco, California
Full-timeLead
👁️ 2 views•📝 0 applications•Posted 4/29/2026•Expires 9/29/2026

This role is no longer accepting external applications

It closed on 9/29/2026. The full description is kept below for reference. You can express your interest directly via ResumeKart below to be placed in our priority candidate showcase for recruiters hiring for similar roles.

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Job Description

RDQ126R106 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 Sr. Staff Software Engineer you will be part of the executive leadership team on the Data Platform org. You will leverage bleeding-edge AI developer tools and techniques to help build the Data Intelligence Platform that will allow us to automate decision-making across Databricks. You will achieve this in collaboration with prominent Tech Leads, Databricks Product Teams, Data Science, and many more. You will define the future of a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, just to name a few. The impact you will have: Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company. Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling. Partner with other prominent tech leaders to d

Required Skills

Advanced ExcelCI/CDCommunicationCross-functional CollaborationData PrivacyData ScienceExcelLeadershipNext.jsSparkUI/UX

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