Senior Pipelines Engine Lead - ETL & Lakeflow

Databricks Inc.; San Francisco (CA); Presencial; USD 229.000 - 317.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Annual bonus

Descripción de la vacante

Databricks Inc. is seeking a dedicated Engineering Leader for the Pipelines Engine within the Lakeflow Engineering team in San Francisco. You will guide the development of next-generation ETL features and scalable data infrastructure, while aligning engineering efforts with product strategy and customer needs.

You will recruit top talent, mentor engineers, manage technical debt, and shape the architecture to sustain high performance across distributed data systems.

Formación

• Minimum 3 years of experience managing top-tier engineering teams.
• 5+ years experience building data infrastructure systems such as Apache Spark or database internals.
• A passion for database systems, storage systems, distributed systems, or performance optimization.
• Experience working with product management and directly with customers; ability to understand customer needs.
• Experience building and managing teams in a complex technical domain, such as distributed data systems or database internals.

Responsabilidades

• Lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform.
• Oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
• Build processes to implement product vision and strategy, according to organizational goals and priorities.
• Build software that is not just high quality but easy to operate.
• Manage technical debt, including long-term technical architecture decisions and balance product roadmap.

Conocimientos

Engineering leadership

Distributed data systems

Database systems

Customer collaboration

Hiring coaching

Descripción del empleo

Databricks Inc. is seeking a dedicated Engineering Leader for the Pipelines Engine within the Lakeflow Engineering team in San Francisco. You will guide the development of next-generation ETL features and scalable data infrastructure, while aligning engineering efforts with product strategy and customer needs.

You will recruit top talent, mentor engineers, manage technical debt, and shape the architecture to sustain high performance across distributed data systems.