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.
About the job
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
Spark, Flink, SQL, NoSQL, Kubernetes, Terraform, Rest, GraphQL, gRPC, AWS
Similar jobs
Fullstack Engineering jobs
Crusoe
San Francisco, CA
Build and own full-stack internal tools, automations, and AI-agent workflows embedded with Crusoe stakeholder teams. The role requires 8+ years of production software experience, staff-level judgment, strong SQL and data modeling, and the ability to deliver reliable solutions quickly.
Pomelo Care
United States
Leads technical direction for patient-facing mobile and web products, while shaping engagement features, architecture, and engineering practices. Requires deep consumer or healthcare product experience, technical leadership, and comfort working across the full stack.
Airbnb
United States
Leads the technical vision and implementation of large-scale payments compliance systems, including user-facing information collection, regulatory screening, and auditing controls. Requires 9+ years of experience, strong technical leadership, backend expertise, and familiarity with web architectures.
Chime
New York, NYLeads the architecture and hands-on development of LLM-powered financial assistant capabilities, including agent systems, evaluations, guardrails, and scalable backend services. Requires 8+ years of backend or full-stack experience, strong distributed-systems expertise, and production experience shipping AI features.
Prompt Health
United States
Staff-level individual contributor leading architecture, technical strategy, and execution for complex enterprise web applications. The role requires deep full-stack experience, strong data architecture and query-performance expertise, hands-on coding, and the ability to mentor engineers.