At Databricks, we're revolutionizing how organizations handle data and AI. As a Senior Staff Software Engineer in our App and Partner Ecosystem team, you'll be at the forefront of shaping how developers and partners integrate with our platform.
The role combines deep technical expertise with strategic leadership, as you'll be responsible for defining the vision and architecture that enables our growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. You'll create frameworks, tools, and best practices that make it seamless for partners to build impactful solutions.
With 10+ years of experience required, you'll leverage your expertise in data-intensive systems, database technologies, and API design to develop robust integration frameworks. Your work will directly impact how customers integrate cutting-edge applications and specialized functionalities, helping them expand their AI and data capabilities.
Leadership is a crucial aspect of this role. You'll mentor engineers, provide technical guidance, and foster innovation across teams. Your influence will extend beyond Databricks as you engage with open-source communities and represent the company at industry events.
The position offers competitive compensation ($217,000 - $312,200), equity, and comprehensive benefits. You'll work with world-class engineers in Seattle, contributing to a platform that's transforming how organizations leverage data and AI.
This is an opportunity to shape the future of data and AI platforms while working with cutting-edge technologies. You'll be part of a company that values innovation, collaboration, and technical excellence, with a mission to solve the world's toughest challenges through data and AI technology.
The ideal candidate combines technical depth with strategic thinking, having experience in database systems, big data processing, API design, and cloud infrastructure. Your passion for the data and AI industry, coupled with strong leadership and communication skills, will be essential in driving Databricks' ecosystem strategy forward.