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DatabricksDatabricksSeattle, WA

Senior Staff Software Engineer - App and Partner Ecosystem

Defines vision, architecture, and strategy for Databricks' app and partner ecosystem. Builds frameworks, APIs, and tools for seamless integrations; leads engineering teams and requires 10+ years in data-intensive systems.

217k – 299k
On-site10+ YOEFullstack Engineering

About the role

Your Impact

  • 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.
  • 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.

What We’re Looking For

  • 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.
  • Bias for action and commitment to delivering high-quality solutions.

Skills

SparkFlinkSQLNoSQLKubernetesTerraformRestGraphQLgRPCAWS

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