✦ Luna Orbit — Data & Analytics

Analytics Data Engineering Manager, Product

at Anthropic

📍 San Francisco, CA | New York City, NY | Seattle, WA Hybrid Posted March 07, 2026
Type Not Specified
Experience lead
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

This role involves leading the analytics engineering team to develop scalable data foundations that enable data-driven decision making across the product organization.

  • Build and scale the analytics engineering team
  • Define and execute data roadmap
  • Design scalable data pipelines and models
  • Partner with Data Science and Product teams
  • Maintain data integrity standards

Focus on data modeling, ETL pipelines, data warehouse architecture, and building reliable, scalable data solutions using SQL and cloud platforms.

The ideal candidate is a senior data engineer or analytics manager with 5+ years of experience leading data engineering teams. They possess deep expertise in data modeling, ETL pipelines, and building scalable data solutions, with strong leadership and collaboration skills.

5+ years of experience managing analytics engineering or data engineering teamsDeep expertise in data modelingETL pipelinesand data warehouse architectureStrong technical foundation in data engineeringExperience building scalable data solutionsPartnering with Data ScienceProductand Engineering teams
Experience with cloud data platformsKnowledge of data governanceExperience with big data toolsFamiliarity with machine learning data pipelines
SQLData warehousesCloud platforms (AWSGCPAzure)
Data ModelingETL pipelinesData warehouse architectureData pipelinesData martsData foundationsSQLData governance
Data ModelingETL pipelinesData warehouse architectureSQLData pipelinesData martsData foundationsScalable data solutionsStakeholder collaborationData integrity standards
LeadershipTeam managementStrategic planningMentoringCommunicationCollaborationProblem-solvingData-driven decision making
Industry Technology / SaaS
Job Function Lead data engineering efforts to create reliable, scalable data foundations for product analytics
Data ModelingETL pipelinesData warehouse architectureData pipelinesData martsData foundationsScalable data solutionsData integrity standardsData-driven decision makingStakeholder collaborationMentoringLeadershipTeam managementSQLData Science

Less than 5 years of relevant experience, Lack of leadership or team management experience, No experience with data modeling or ETL pipelines

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