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dbt observability analytics-warehouse

πŸ“‹ Description

  • Build and maintain core data models for Greenhouse Recruiting and emerging lines.
  • Establish global modeling standards using dbt for a single source of truth.
  • Design automated data quality frameworks and observability pipelines.
  • Partner with Product Engineering to bridge app databases and the analytics warehouse.
  • Own the Greenhouse Data Catalog ensuring datasets are documented and discoverable.
  • Develop and enforce data governance policies including naming conventions and docs.

🎯 Requirements

  • 5+ years of experience as a data engineer or analytics engineer.
  • Proven expertise using dbt to create complex data models for B2C or SaaS.
  • Track record building frameworks enabling central data teams to drive global consistency.
  • Experience modeling complex datasets for recruiting or similar core business functions.
  • Strong ability to manage data discoverability tools and enforce documentation standards.
  • Ability to lead cross-functional technical initiatives and manage distributed stakeholders.

🎁 Benefits

  • Medical, dental, and vision insurance
  • Basic life insurance
  • Mental health resources
  • 401(k) with company match
  • Fully paid parental leave
  • Remote-first with optional offices in NYC and Ireland
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