Databricks18.03.2026
Engineering Manager - Pipelines Engine
Mountain View
Обязанности
- 01Lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform
- 02Oversee sustained recruitment of top-tier talent, and upskilling talent on the team
- 03Build processes to implement product vision and strategy, according to organizational goals and priorities
- 04Build software that is not just high quality but easy to operate
- 05Manage technical debt, including long-term technical architecture decisions and balance product roadmap
- 06Spearhead the Agentic Data Engineering infrastructure, by building the next generation engine to power agentic pipeline authoring, execution and maintenance
Требования
- 01Minimum 3 years of experience in managing top-tier engineering teams
- 025+ years experience building data infrastructure systems such as Apache Spark™ or database internals
- 03A passion for database systems, storage systems, distributed systems, or performance optimization
- 04Experience working with product management, and directly with customers; ability to understand customer needs
- 05Can ensure the team builds high quality and reliable infrastructure services
- 06Experience being responsible for testing, quality, and Service Level Agreements of a product
- 07Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals
- 08Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards
- 09Experience up-leveling teams via hiring top-notch talent and growing existing team members
Условия
- 01Pay Range: $190,000 — $261,250 USD
- 02Eligibility for annual performance bonus and equity
- 03Comprehensive benefits and perks