Job description

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 at scale. This 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 at scale. 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 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: $146,700.00 - $339,300.00 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, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

Requirements

Must-haves

What You Can Expect
About the Team
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.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
$146,700.00 - $339,300.00
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
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: workday
Effort: long