Related skills
dbt observability analytics-warehouseπ 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.
π― 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.
π 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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