Senior Staff Software Engineer - App And Partner Ecosystem
RDQ126R35 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 this role actually needs.
RDQ126R35 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. Responsibilities: - 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. Requirements: - 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. - 10+ 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. - Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives. - Ability to mentor engineers, influence architectural decisions, and advocate for best practices. - Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally. Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
Day-to-day expectations
Databricks lists these responsibilities for the Senior Staff Software Engineer - App And Partner Ecosystem role.
- 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 a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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.
- 10+ 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.
- Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.
- Ability to mentor engineers, influence architectural decisions, and advocate for best practices.
- Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally.
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Source: databricks.com · Source ID: 7807722002 · Confidence: 93/100 · Last checked: May 7, 2026
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