Senior Data Engineering Manager

Zoom • Seattle, WA

1d • $146,700 - $339,300 • Hybrid

About The Position

The Senior Data Engineering Manager leads Zoom’s Online Data team, which provides the data pipelines, ML models, and reporting that support the Online business, including billing, checkout, funnel analytics, and revenue reporting. The role directs a globally distributed, cross-functional team of data engineers, ML engineers, and data visualization engineers, setting technical and architectural direction and partnering with Data Science, Finance, Product, and other stakeholders to deliver reliable, governed data assets and business insights at scale.

This hybrid role requires on-site presence three days per week at Zoom’s Seattle, Washington, or San Jose, California office. Remote arrangements are not available.

Requirements

• 10+ years of experience in data engineering, including 3+ years leading and managing engineering teams.
• Proven experience building and scaling production data pipelines and data platforms, with hands-on experience across Snowflake, Databricks, Spark, Airflow, and dbt.
• Strong foundation in data modeling, ETL/ELT architecture, data governance, and access control practices.
• Experience collaborating with Finance, Business, and Data Science stakeholders on revenue, billing, or growth analytics.
• Ability to hire, develop, and retain high-performing engineering talent, with excellent communication skills across technical and executive audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Nice To Haves

• Familiarity with BI and visualization tools such as Tableau, Hex, or Looker.

Responsibilities

• Lead and grow a cross-functional team of data engineers, ML engineers, and data visualization engineers.
• Own the roadmap and delivery of scalable data pipelines, data models, and infrastructure for Online business analytics, including funnel, billing, checkout, and revenue.
• Partner with Data Science, Finance, and Product stakeholders to translate business requirements into reliable, well-governed data assets.
• Drive data quality, classification and access control compliance, and platform reliability across Snowflake, Databricks, and Zoom’s big-data platform ecosystem.
• Define technical direction for data architecture, pipeline design, and tooling selection, including evaluating and adopting new BI and analytics platforms.
• Manage team performance, hiring, mentorship, and career development to build and retain high-performing engineering talent.
• Collaborate with engineering leadership on headcount planning, prioritization, and capacity allocation.

Benefits

• A benefits program with perks, benefits, and options intended to support physical, mental, emotional, and financial health, work-life balance, and meaningful community contribution.
• Opportunities to develop skills and advance a career in a collaborative, growth-focused environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior