Senior Staff Software Engineer - Enzyme

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 235,000 - 295,000 annuallyFunction: Software EngineeringExperience: 15+ yearsEducation: bachelorsSkills: ["Leadership","Communication","Ownership","Problem-solving","Teamwork"]

Senior technical leader on the Lakeflow ETL line at Databricks, steering the Materialized Views engineering team to design and implement next-generation MV features for ETL workloads and query acceleration. Expect high-impact work on scalable, fault-tolerant architectures, low-level performance optimization on large production clusters, and cross-team ownership of complex projects.

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FursaFursa
Databricks
Databricks
1 year ago

Senior Staff Software Engineer - Enzyme

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Senior technical leader on the Lakeflow ETL line at Databricks, steering the Materialized Views engineering team to design and implement next-generation MV features for ETL workloads and query acceleration. Expect high-impact work on scalable, fault-tolerant architectures, low-level performance optimization on large production clusters, and cross-team ownership of complex projects.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead and own the Materialized Views engineering efforts, building next-generation MV features for ETL workloads and query acceleration.
  • •Design and implement scalable, available, and fault-tolerant architectures for materialized views and associated systems.
  • •Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
  • •Shape product roadmap, own projects, and collaborate across teams to drive architecture design and implementation.
  • •Introduce tools to improve automation and operability of services and help prevent production issues.

Pay and Benefits

Salary: USD 235,000 - 295,000 annually

Key Requirements

  • •15+ years industry experience building and supporting large-scale distributed systems.
  • •A passion for database systems, storage systems, distributed systems, language design, or performance optimization.
  • •Experience working towards a multi-year vision with incremental deliverables.
  • •Motivated by delivering customer value and impact.
  • •BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Experience:15+ yearsLarge-scale distributed systemsDatabasesDistributed systems
Education:Bachelor's in Computer Science
Skills:LeadershipCommunicationOwnershipProblem-solvingTeamwork
Languages:English
Tech Stack:Materialized ViewsStructured StreamingDelta Live TablesETLDatabasesPerformance optimizationArchitecturesDistributed systems

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