About the job
RDQ126R35
About Databricks
At Databricks, we empower data teams to tackle the world's most pressing challenges—from detecting security threats to developing cancer treatments. Our mission is to create the premier data and AI infrastructure platform, allowing our clients to focus on innovation.
Our engineering teams are dedicated to pushing the limits of data and AI technology while ensuring our platform operates with the resilience, security, and scalability that businesses require for success.
About the Role
We are cultivating an expanding ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team crafts frameworks, tools, and best practices to facilitate seamless integrations, empowering developers and partners to create impactful solutions.
As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a pivotal role in enabling customers to integrate cutting-edge applications, support developers in thriving on Databricks, and shape the future of data and AI platforms.
Your Impact
- Define and lead the ecosystem strategy for Databricks, a vital aspect of our platform's growth. Influence how applications and integrations enhance the Databricks experience for developers, partners, and customers.
- Design frameworks, APIs, and tools that simplify the process for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.
- Empower customers to integrate leading-edge applications and specialized functionalities, enabling them to achieve competitive differentiation and enhance their AI and data capabilities.
- Guide and mentor engineers across teams, offering technical guidance, architectural direction, and career development support. Promote a culture of innovation, best practices, and knowledge sharing.
- Collaborate across product, engineering, and business development teams to align technical roadmaps with strategic business objectives.
- Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.
- Represent Databricks at industry events and conferences, shaping the broader data and AI landscape while engaging with partners, customers, and developers to influence the future of our platform.

