Principal Analytics Engineer

Harness
Bengaluru
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsSkills: []

Build and maintain curated analytics data models for product usage, customer adoption, account health, and go-to-market reporting. Own end-to-end warehouse transformations from raw ingestion to stable, documented tables. Ingest data from SaaS platforms, product telemetry, APIs, spreadsheets, and operational databases, and debug issues across pipelines, models, and BI dashboards. Partner cross-functionally and improve documentation, data lineage, governance, access patterns, and freshness standards.

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FursaFursa
Harness
Harness
2 months ago

Principal Analytics Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and maintain curated analytics data models for product usage, customer adoption, account health, and go-to-market reporting. Own end-to-end warehouse transformations from raw ingestion to stable, documented tables. Ingest data from SaaS platforms, product telemetry, APIs, spreadsheets, and operational databases, and debug issues across pipelines, models, and BI dashboards. Partner cross-functionally and improve documentation, data lineage, governance, access patterns, and freshness standards.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting.
  • •Own warehouse transformations end to end from raw ingestion to stable, documented tables.
  • •Support ingestion from SaaS platforms, product telemetry, APIs, spreadsheets, and operational databases.
  • •Debug data issues across source systems, pipelines, warehouse models, and BI dashboards.
  • •Partner with stakeholders across product, sales, customer success, marketing, finance, and engineering to deliver data needs and improve documentation, lineage, discoverability, and governance.

Key Requirements

  • •6+ years in analytics engineering, data engineering, or a closely related role.
  • •Strong SQL and experience shipping production-grade analytical models.
  • •Hands-on experience with a modern cloud data warehouse (BigQuery, Snowflake, Redshift, or similar).
  • •Experience with a transformation framework like dbt, SQLMesh, or equivalent.
Experience:6+ yearsAnalytics engineeringData engineeringSaaS
Tech Stack:SQLBigQuerySnowflakeRedshiftDbtSQLMeshAPIsBI dashboards

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