Sr. Engineering Manager - Pipelines Engine

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Leadership","Communication","People management","Strategic thinking","Mentoring"]

Lead the Pipelines Engine engineering team within the Lakeflow data pipeline platform, driving next-gen runtime ETL features, performance optimization, and the agentic data engineering infrastructure while recruiting, upskilling, and aligning the team with product vision and organizational priorities.

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FursaFursa
Databricks
Databricks
4 months ago

Sr. Engineering Manager - Pipelines Engine

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead the Pipelines Engine engineering team within the Lakeflow data pipeline platform, driving next-gen runtime ETL features, performance optimization, and the agentic data engineering infrastructure while recruiting, upskilling, and aligning the team with product vision and organizational priorities.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •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.

Key Requirements

  • •Minimum 3 years of experience in 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
  • •Expertise in attracting, hiring and coaching engineers, who will meet hiring standards and growing team members
Experience:Data engineeringCloud
Skills:LeadershipCommunicationPeople managementStrategic thinkingMentoring
Languages:English
Tech Stack:Apache SparkSparkETLLakeflowGenie CodeDatabricks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn