Zoom is growing at an explosive pace by every measure - revenues, people, innovation, and customers. Led by Eric S. Yuan, the #1 ranked CEO on Glassdoor, our unique culture makes Zoom an awesome place to work. We are expanding teams across the organization. If you are motivated by delivering happiness, come join us at Zoom!
A Manager of Data Engineering will lead the team responsible for building solutions for data engineering problems via software engineering. This manager will be focused on driving strategic horizontal initiatives that advance the skills and capabilities of the organization, while at the same time improving the level of enablement for business partners and stakeholders. He/she will manage a team of engineers, while partnering across organizations both in engineering and in business.
If you have a passion and track record for solving large-scale data problems; moreover, have strong leadership skills and a solid software development background, this may be a great fit for you.
Build the next-generation data foundations and highly scalable and configurable data pipelines that feed Zoom's customer-facing data as well as internal reporting and analytics, leveraging latest technologies (Redshift, Spark, Athena, Hadoop, DynamoDB, Kafka, Airflow ...etc)
Drive execution of data solution and technology roadmap by collaborating with cross-functional teams, products, analysts, engineering, operations, marketing, sales ops and machine learning experts
Provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wide critical programs
Identify, leverage, and successfully evangelize opportunities to improve engineering productivity
Create a collaborative work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for craftsmanship
Maintain rigor in high code quality, automated testing, and other engineering best practices
Drive design, building, and launching of new data models and data pipelines in production
Manage, monitor and maintain AWS infrastructure with the help from experts in the team
Lead and manage engineering team(s) with a passion for mentoring and growing top engineering talent
M.S Degree in Computer Science or a related field
Strong management skills for planning and executing complex multi-team projects
Strong communication skills and internal customer focus
Strong sense of ownership and pride on the quality of data
Experience building and running in production, distributed large scale data management systems with elements of metadata management, schedulers, and data quality frameworks
Experience E2E in big data space (Hadoop, Pig, Hive, Python, Java), Enterprise data solutions and AWS experience
Ability to recruit for and manage technical teams
Ability to work with geographically distributed teams
Knowledge and experience of working with machine learning systems will be a plus
Check us out with a free download: zoom.us/download
Zoom Video Communications is an equal opportunity employer and evaluates applicants regardless of an individual's age, race, color, gender, religion, national origin, sexual orientation, disability or veteran status. Our combined differences are what make us Zoom!