Senior Engineering Manager - Enzyme

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 217,000 - 288,400 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsSkills: ["Leadership","Communication","Mentoring","Team-building","Stakeholder management"]

Lead the Lakeflow Engineering team building next-generation Materialized View features for Databricks’ ETL platform, overseeing recruitment and upskilling, and shaping product vision and strategy for scalable, reliable infrastructure services in a distributed data systems environment.

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FursaFursa
Databricks
Databricks
1 year ago

Senior Engineering Manager - Enzyme

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Lead the Lakeflow Engineering team building next-generation Materialized View features for Databricks’ ETL platform, overseeing recruitment and upskilling, and shaping product vision and strategy for scalable, reliable infrastructure services in a distributed data systems environment.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead an engineering team building the next-generation Materialized View 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.

Pay and Benefits

Salary: USD 217,000 - 288,400 annually

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.
  • •Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
Experience:3+ yearsData infrastructureDistributed systemsDatabase internalsApache Spark
Skills:LeadershipCommunicationMentoringTeam-buildingStakeholder management
Languages:English
Tech Stack:Apache SparkDelta LakeMLflowStructured StreamingMaterialized Views

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