About the Role
We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business.
We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams. These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products.
You will report directly to the Senior Manager of Engineering.
Responsibilities
- You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives.
- You will oversee sustained recruitment of top-tier talent, and developing talent on the team.
- You will build processes to implement product vision and strategy, according to organizational goals and priorities.
- You will build software that is not just high quality, but easy to operate.
- You will manage technical debt, including long-term technical architecture decisions, and balance product roadmap.
Requirements
- Great at hiring and developing talent.
- Great at creating efficient processes that increase velocity and quality.
- 2+ years of experience in managing teams that build and operate systems in a SaaS environment.
- 5+ years of experience with distributed systems and building platforms and services and best in class application experience which serve multiple product teams and customers.
- Have experience in scaling engineering teams from 5 to 20+.
- Team player that will work with other departments (PM, CS) and engineering teams.
- BS or higher in Computer Science, or a related field.
- Strong track record of attracting, hiring, and retaining top engineering talent.
- Experience managing distributed teams across multiple locations.
- Adaptability and resilience in a fast-paced, rapidly evolving tech environment.