Engineering Manager - Databricks SQL Control Plane

Databricks
Mountain View
Workplace: OnsiteFull timeUSD 190,000 - 261,250 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Leadership","Communication","Mentoring","Collaboration","Problem-solving"]

Lead and grow a team of software engineers building a low-latency, multi-tenant cloud-native data warehousing system on the Databricks Lakehouse Platform. Drive technical design, product and design discussions, roadmaps, and staffing while maintaining high availability in the cloud and mentoring future leaders.

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FursaFursa
Databricks
Databricks
4 months ago

Engineering Manager - Databricks SQL Control Plane

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead and grow a team of software engineers building a low-latency, multi-tenant cloud-native data warehousing system on the Databricks Lakehouse Platform. Drive technical design, product and design discussions, roadmaps, and staffing while maintaining high availability in the cloud and mentoring future leaders.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Leading a team of talented software engineers to build the next-generation low-latency, multi-tenant, cloud native data warehousing system.
  • •Growing the team by hiring strong engineering talent.
  • •Leading and participating in technical, product and design discussions relating to cloud native database systems.
  • •Managing and operating a highly available service in the cloud.
  • •Growing leaders on the team by providing coaching, mentorship and growth opportunities.

Pay and Benefits

Salary: USD 190,000 - 261,250 annually

Key Requirements

  • •5+ years experience working in, database systems, data processing or related domains.
  • •Experience building highly available cloud services on AWS, GCP or Azure.
  • •Building, growing and managing high performance teams.
  • •Experience defining and meeting SLOs for highly available systems.
  • •Ability to attract and hire engineers who meet the Databricks hiring standards.
Experience:5+ yearsDatabasesCloud computingData processing
Skills:LeadershipCommunicationMentoringCollaborationProblem-solving
Languages:English
Tech Stack:RustAWSGCPAzure

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