SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 146,700 - 339,300 / annual
Zoom is seeking a Senior Data Engineering Manager to lead a globally distributed team of data engineers, ML engineers, and data visualization engineers. This role sits at the center of how Zoom's Online business uses data to make critical decisions, driving high-impact outcomes across billing, checkout, growth, and revenue analytics.
You will own the roadmap and delivery of scalable data pipelines, data models, and infrastructure supporting Online business analytics. Your responsibilities include leading and growing a cross-functional team, managing team performance, hiring, mentorship, and career development. You'll partner with Data Science, Finance, and Product stakeholders to translate business requirements into reliable, well-governed data assets. You'll drive data quality, classification, access control compliance, and platform reliability across Snowflake, Databricks, and Zoom's big-data platform ecosystem. You'll define technical direction on data architecture, pipeline design, and tooling selection, including evaluation and adoption of new BI and analytics platforms. You'll also collaborate with engineering leadership on headcount planning, prioritization, and capacity allocation.
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. The team is globally distributed and deeply cross-functional, partnering closely with Data Science, Fraud, Online Business, Finance, Marketing, and IT services.
This is a hybrid position requiring on-site presence 3 days per week at either the Seattle, WA or San Jose, CA office. Remote arrangements are not available for this role.
REQUIREMENTS:
- 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
- Familiarity with BI and visualization tooling such as Tableau, Hex, or Looker is a plus
