Senior Manager, Infrastructure Data Science

Databricks
Mountain View
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Leadership","Communication","Problem-solving","Collaboration","Mentorship"]

Senior Manager leading a team of data scientists to shape Databricks infrastructure through data-driven insights. You will drive capacity planning, performance optimization, reliability engineering, and infrastructure efficiency while partnering with engineering to deliver scalable, cost-effective solutions that enhance customer experience and operational continuity.

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FursaFursa
Databricks
Databricks
1 year ago

Senior Manager, Infrastructure Data Science

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

Job Summary

Senior Manager leading a team of data scientists to shape Databricks infrastructure through data-driven insights. You will drive capacity planning, performance optimization, reliability engineering, and infrastructure efficiency while partnering with engineering to deliver scalable, cost-effective solutions that enhance customer experience and operational continuity.
Location: Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Provide thought leadership on infrastructure planning to balance current needs with future growth for scalability and cost-effectiveness.
  • •Lead a data-driven approach across engineering to leverage analytics for infrastructure decisions.
  • •Develop and deploy data-driven solutions to identify, predict, and mitigate infrastructure risks, reducing downtime.
  • •Analyze resource utilization to identify inefficiencies and drive cost savings and performance improvements.
  • •Mentor and manage a team of data scientists, promoting best practices and collaboration.

Key Requirements

  • •10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • •5+ years of management experience hiring and developing teams
  • •Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
  • •Knowledge of statistics and rigorous analytical techniques
  • •Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
Experience:Cloud computingData scienceInfrastructure
Education:Master's
Skills:LeadershipCommunicationProblem-solvingCollaborationMentorship
Languages:English
Tech Stack:PythonSQLSparkMLCloudData VisualizationTableau

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