Principal Analytics Engineer

Harness
Mountain View, San Francisco
Workplace: OnsiteFull timeUSD 180,000 - 200,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsSkills: ["Data governance judgment","Debugging","Stakeholder partnership","Root-cause analysis"]

Own end-to-end analytics warehouse transformations, from raw ingestion to stable, documented tables that downstream teams rely on. Build and govern curated data models for product usage, customer adoption, account health, and GTM reporting. Troubleshoot issues across source systems, pipelines, warehouse models, and BI dashboards, and strengthen documentation, lineage, and data discoverability. Partner with stakeholders to turn ambiguous questions into well-scoped models.

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FursaFursa
Harness
Harness
2 days ago

Principal Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own end-to-end analytics warehouse transformations, from raw ingestion to stable, documented tables that downstream teams rely on. Build and govern curated data models for product usage, customer adoption, account health, and GTM reporting. Troubleshoot issues across source systems, pipelines, warehouse models, and BI dashboards, and strengthen documentation, lineage, and data discoverability. Partner with stakeholders to turn ambiguous questions into well-scoped models.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Own warehouse transformations end to end, from raw ingestion through documented, stable tables used by downstream teams.
  • •Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.
  • •Set and enforce data practices including governance, access patterns, model ownership, and freshness standards.
  • •Debug data issues across the stack (source systems, pipelines, warehouse models, BI dashboards) and drive root-cause fixes.
  • •Improve documentation and lineage for self-serve analytics, and partner with stakeholders to scope data models while unblocking access and metric definition needs.

Pay and Benefits

Salary: USD 180,000 - 200,000 annually

Key Requirements

  • •6+ years in analytics engineering, data engineering, or a similar role with ownership of production data models.
  • •Strong SQL and a track record shipping analytical models that others depend on.
  • •Hands-on experience with a modern cloud warehouse such as BigQuery, Snowflake, or Redshift.
  • •Experience with a transformation framework like dbt, SQLMesh, or equivalent.
  • •Scripting (Python or similar) plus experience with a BI tool such as Tableau, Looker, or Metabase.
Experience:6+ years
Skills:Data governance judgmentDebuggingStakeholder partnershipRoot-cause analysis
Languages:English
Tech Stack:SQLBigQuerySnowflakeRedshiftDbtSQLMeshPythonTableauLookerMetabaseSegmentAmplitudeMixpanelSalesforceGainsightOutreachAirflowRAG pipelinesEmbeddingsLLMs

Company Brief

Harness
Provides a continuous delivery and software delivery platform that automates deployment, feature releases, rollbacks, and cloud cost optimization using machine learning to help engineering teams deliver changes quickly and safely.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn