Senior Staff Software Engineer - App and Partner EcosystemActive$217K
The opportunity
About Databricks At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.
What you'll do
Define and drive the ecosystem strategy for Databricks, a crucial pillar of: our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.
Develop frameworks, APIs, and tools that make it seamless for partners and: developers to build, integrate, and scale applications within the Databricks ecosystem.
Enable customers to integrate cutting-edge applications and specialized: functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.
Lead and mentor engineers across teams, providing technical guidance,: architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.
Collaborate cross-functionally with product, engineering, and business: development teams to align technical roadmaps with strategic business goals.
Engage with open-source communities and advocate for best practices in: application development, data processing, and ecosystem enablement.
What they're looking for
- Represent Databricks at industry events and conferences, influencing the: broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.
- Deep passion for and knowledge of the broad data and AI industry. Experience: contributing to open-source projects and engaging with developer communities is a plus.
- + years of experience building data-intensive applications or systems. Strong: expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.
- Strong understanding of data security, governance, and compliance frameworks: (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.