Senior Data Engineering Manager

What You Can Expect This role sits at the center of how Zoom’s Online business uses data to make critical decisions. You’ll lead a globally distributed team of data engineers, ML engineers, and data visualization engineers, driving high-impact outcomes across billing, checkout, growth, and revenue analytics. As a technical leader, you’ll set architectural direction and partner with Data Science, Finance, and Product to shape the infrastructure that powers business insights s is a hybrid position that requires on-site presence 3 days per week at our Seattle, WA or San Jose, CA office.

Remote arrangements are not available for this role.

About the Team The Online Data team owns the data pipelines, ML models, and reporting that underpin Zoom’s Online business, covering billing, checkout, funnel analytics, and revenue reporting. Globally distributed and deeply cross-functional, the team partners closely with Data Science, Fraud, Online Business, Finance, Marketing, and IT services to deliver reliable, data-driven outcomes ponsibilities

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 supporting 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 on data architecture, pipeline design, and tooling selection, including evaluation and adoption of 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.

What We’re Looking For
10+ years of experience in data engineering, including 3+ years leading and managing engineering teams.

Proven track record 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, and data governance and access control practices.

Experience collaborating with Finance, Business, and Data Science stakeholders on revenue, billing, or growth analytics.

Demonstrated ability to hire, develop, and retain high-performing engineering talent, with excellent communication skills across technical and executive audiences.

Familiarity with BI and visualization tooling such as Tableau, Hex, or Looker is a plus.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

Salary Range or On Target Earnings:$ - $In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note:

Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure;  there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:10/31/26

Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role,…