Sr. Staff Software Engineer - Managed Tables

Databricks
Mountain View
Workplace: OnsiteFull timeUSD 228,600 - 314,250 annuallyFunction: Software EngineeringExperience: 15+ yearsEducation: bachelorsSkills: ["Distributed systems","Performance optimization","Data storage","Cloud infrastructure"]

Senior staff software engineer leading the design and implementation of enterprise-grade autonomous analytical systems for Databricks’ Unity Catalog ManagedTables. Focus on scalable storage optimization, efficient data layouts for ML, and interoperable catalog interfaces while mentoring engineers and driving cross-team initiatives to deliver high-performance, production-grade data infrastructure.

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FursaFursa
Databricks
Databricks
3 months ago

Sr. Staff Software Engineer - Managed Tables

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Last checked: 1 hour agoStatus: Live

Job Summary

Senior staff software engineer leading the design and implementation of enterprise-grade autonomous analytical systems for Databricks’ Unity Catalog ManagedTables. Focus on scalable storage optimization, efficient data layouts for ML, and interoperable catalog interfaces while mentoring engineers and driving cross-team initiatives to deliver high-performance, production-grade data infrastructure.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead the design and implementation of next-generation autonomous analytical data systems with cross-team collaboration.
  • •Deliver a highly scalable, available, and interoperable architecture for Managed Tables.
  • •Perform low-level systems debugging, performance measurement, and optimization on large production clusters.
  • •Influence product roadmap, own new projects, and build automation tools to improve operability of services.
  • •Mentor and up-level engineers on the team and plan/lead complex technical projects.

Pay and Benefits

Salary: USD 228,600 - 314,250 annually

Key Requirements

  • •15+ years industry experience building and supporting large-scale distributed systems.
  • •A BS/MS/PhD in Computer Science or related majors, or equivalent experience.
  • •Passion for database systems, storage systems, distributed systems, language design, or performance optimization.
  • •Experience working towards a multi-year vision with incremental deliverables.
  • •Strong foundation in algorithms and data structures and their real-world use cases.
Experience:15+ years
Education:Bachelor's
Skills:Distributed systemsPerformance optimizationData storageCloud infrastructure
Languages:English
Tech Stack:Distributed systemsData storageCloud infrastructure

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