Position Details
About this role
Databricks is seeking an Engineering Manager to lead the Pipelines Engine team responsible for building next-generation ETL features and ensuring high performance of data pipelines. The role involves managing a talented engineering team, setting product vision, and overseeing technical architecture.
Key Responsibilities
- Lead ETL feature development
- Manage engineering team recruitment and upskilling
- Oversee technical debt and architecture
- Align product strategy with organizational goals
- Ensure high-quality, reliable infrastructure
Technical Overview
The role involves building and managing data infrastructure systems, with a focus on Apache Spark, distributed systems, performance optimization, and scalable ETL pipelines within the Databricks Lakeflow platform.
Ideal Candidate
The ideal candidate is a senior engineering leader with at least 3 years of experience managing top-tier data engineering teams, with deep expertise in building scalable data infrastructure using Apache Spark or similar systems. They possess strong leadership, strategic planning, and technical architecture skills, and are passionate about performance optimization and customer-centric product development.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years managing engineering teams, No experience with Apache Spark or database internals, Lack of leadership or strategic planning skills, Inability to manage technical debt
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