Senior Staff Software Engineer - App and Partner Ecosystem

At Databricks, we are seeking a Senior Staff Software Engineer to join our App and Partner Ecosystem team. This is a crucial role that will help shape the future of our data and AI platform by enabling seamless integrations and building robust frameworks for our growing ecosystem.

The position offers an opportunity to work at the intersection of data, AI, and ecosystem development. You'll be responsible for defining the vision, architecture, and strategy for the Databricks ecosystem - a crucial pillar of our platform growth. This involves developing frameworks, APIs, and tools that enable partners and developers to build, integrate, and scale applications within our ecosystem.

As a Senior Staff Engineer, you'll lead technical initiatives that help customers integrate cutting-edge applications and specialized functionalities. You'll work closely with cross-functional teams, including product, engineering, and business development, to align technical roadmaps with strategic business goals. The role requires deep expertise in data-intensive systems, with experience in database systems, big data processing, and API design.

The ideal candidate brings 10+ years of experience, strong leadership skills, and a passion for the data and AI industry. You'll have the opportunity to mentor engineers, influence architectural decisions, and represent Databricks at industry events. The position offers competitive compensation ($217,000 - $288,400) and comprehensive benefits.

Working at Databricks means joining a company at the forefront of data and AI innovation, with over 10,000 organizations worldwide relying on our platform. You'll be part of a team that includes the original creators of Apache Spark™, Delta Lake, and MLflow, working to solve some of the world's toughest challenges through data and AI technology.

This role is perfect for someone who wants to make a significant impact on the data and AI landscape while working with cutting-edge technology and leading teams. You'll help shape how applications and integrations enhance the Databricks experience for developers, partners, and customers, ultimately driving the next generation of data and AI innovation.