Data Warehouse Engineer

Zapier

91d

About The Position

Zapier is hiring a Data Warehouse Engineer to join our Revenue & Finance Data team. In this role, you will be the steward of Zapier’s foundational revenue datasets that support the company's financial health and future growth. You’ll focus on building reusable internal data products to power self-serve analytics, enabling teams across Zapier to gain actionable insights faster. You’ll help set the technical direction for our analytics ecosystem, designing and evolving core datasets used company-wide and ensuring our data platform scales to support everything from daily operations to advanced AI initiatives.

Requirements

• 4+ years of experience as a Data Warehouse Engineer, Data Engineer, Analytics Engineer, or in a similar role.
• Deep understanding of data modeling concepts and experience designing data models and ETL pipelines.
• Ability to align data models with business goals and empower insightful analysis and reporting.
• Familiarity with modern data platforms and best practices for scalability and performance.
• Proactive and strategic mindset with a focus on stakeholder value.
• Demonstrated AI fluency in work, using AI to enhance productivity and solution quality.

Responsibilities

• Build trusted data products by designing scalable and high-quality pipelines using Airflow, dbt, Databricks, and modeling business-critical metrics like ARR, churn, and NRR, ensuring stakeholders can self-serve confidently.
• Shape technical direction by guiding architectural decisions, tooling choices, and strategies to optimize data storage and the analytics landscape.
• Enable self-service analytics by partnering with stakeholders across Zapier to understand their analytical needs and creating data products that connect raw data to actionable insights.
• Prioritize impact by focusing on high-value projects, transparently pushing back on low-leverage requests, and clearly balancing stakeholder needs with technical feasibility.
• Identify opportunities proactively by presenting data-driven solutions before they’re requested and sharing your insights in strategic discussions across Finance, Product, and Revenue.
• Elevate the team by mentoring peers, sharing best practices, documenting your work, and making our data ecosystem clearer and more maintainable than before.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 501-1,000 employees