Harness

Principal Analytics Engineer

Harness • $180K — $200K *
San Francisco, CA 94112In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 6+ years in analytics engineering or data engineering with strong ownership of production data models
  • Proficient in SQL with proven experience delivering analytical models
  • Hands-on experience with modern cloud data warehouses like BigQuery or Snowflake
  • Familiarity with transformation frameworks such as dbt
  • Scripting skills in Python for data ingestion and automation
  • Experience with BI tools like Tableau or Looker
  • Demonstrated ability to handle data access and sensitive information responsibly

Responsibilities

  • Own warehouse transformations from raw ingestion to stable tables
  • Build and maintain curated data models for various business functions
  • Set and enforce data governance and access practices
  • Debug and resolve data integrity issues across systems
  • Enhance documentation for better team self-service
  • Engage with stakeholders to clarify and scope data requirements
  • Reduce bottlenecks by unblocking teams on data access and definitions

Benefits

  • Opportunities for professional growth and development
  • Flexibility in work arrangements
  • Collaborative team culture
  • Access to cutting-edge technology and tools
  • Participation in data-driven decision making
Full Job Description
What You'll Do
  • Own warehouse transformations end to end - from raw ingestion through documented, stable tables that downstream teams and tools depend on
  • Build and maintain curated data models for product usage, customer adoption, account health, and go-to-market reporting
  • Set and enforce data practices: governance, access patterns, model ownership, freshness standards
  • Debug data issues across the full stack - source systems, pipelines, warehouse models, BI dashboards - and drive root-cause fixes, not just patches
  • Improve documentation and lineage so teams can self-serve without tribal knowledge
  • Partner directly with stakeholders across the business to turn ambiguous questions into well-scoped data models
  • Unblock teams on access, metric definitions, and data discoverability as part of a broader effort to reduce reliance on you as a bottleneck


Required
  • 6+ years in analytics engineering, data engineering, or similar, with real ownership of production data models
  • Strong SQL and a track record shipping analytical models others depend on
  • Hands-on with a modern cloud warehouse (BigQuery, Snowflake, Redshift, or similar)
  • Experience with a transformation framework (dbt, SQLMesh, or equivalent)
  • Scripting (Python or similar) for ingestion, validation, or automation
  • Experience with a BI tool (Tableau, Looker, Metabase, or similar)
  • Demonstrated judgment on data access and sensitive data handling


Nice to Have
  • Experience with data-backed AI applications - RAG pipelines, embeddings, LLM-powered internal tools (active area of investment for us)
  • Product telemetry / event-stream data (Segment, Amplitude, Mixpanel)
  • CRM/CS/GTM data sources (Salesforce, Gainsight, Outreach)
  • Data catalogs, lineage tools, governance frameworks
  • Workflow orchestration (Airflow or similar)
  • PLG, adoption, entitlement, or customer health reporting


Pay transparency

$180,000-$200,000 USD

Harness in the news:
  • Accelerating Our Mission to Bring AI to Everything After Code
  • Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation
  • How Harness runs 16 "startups within a startup" at scale | Jyoti Bansal
  • Harness Research Shows AI Visibility Crisis Fueling Security Nightmare
  • Harness has been named to the Inc. Power Partner list for software delivery success

About Harness

Harness is a continuous delivery platform that helps businesses automate their software delivery processes. The platform offers a range of tools and services to help developers build, test, and deploy software more quickly and efficiently. Harness uses AI and machine learning to optimize the software delivery process, and provides analytics and insights to help teams identify and resolve issues more quickly. The company was founded in 2016 and is headquartered in Santa Clara, California.
Learn more about Harness
Size
500 employees
Industry
Enterprise Technology
Founded
2015
* Ladders Estimates

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