Help shape and execute our vision of Zoom Phone to deliver the most delightful and empowering communications experience to our users. As a Data Product Architect you will work closely with product managers to understand product vision and business needs, define technical requirements and guide architectural solutions of data architecture, deliver analytics to help customers (both internal & external) gain insights, and make data driven decisions.
At Zoom we are a big enough company to have the ability to deliver market-shifting features in our platform. At the same time our team moves fast, continuously improves, and delivers results. You are joining a collaborative team of high-caliber experts and you can make a meaningful impact.
Deep collaboration with product management to develop a data strategy that defines the capabilities for data ingestion, classification, transformation, storage, and processing.
Align enterprise data architecture with business objectives and product strategy.
Collaborate with cross-functional leads (e.g. DevOps, Big Data, & Data Scientist, etc.) to effectively drive technical requirements, architectural and design principles to improve data performance, reliability and security.
Actively evaluate competitive products and new ETL tools. Understand industry trends and evolutions.
Be the leading expert on data & analytics. Collaborate, educate, and mentor architects and technical leaders on modern data architecture practices. Guide architecture design and solve complex technical challenges as a hands-on leader.
Communicate effectively to business and technical partners across senior levels of the organization.
Bachelor or Master Degree in Science (e.g. CS, Data Science, etc.)
8+ years experience in design, implementation and management of data, leveraging data pipeline orchestration tools, optimizing file storage and partitioning, and managing a scalable schema registry to support customer facing features.
3+ years SaaS experience in architecting scalable cloud centric data solutions.
Deep knowledge of data feature engineering, data mining, machine learning, or information retrieval.
Domain knowledge of modern data science and data engineering orientated data pipeline management platforms, such as Hadoop, Spark, Kafka, EMR and CDH. Experience with Druid and/or Clickhouse is a plus.
In-depth knowledge of ETL with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Self-starter with drive and demonstrated ability to execute and deliver in an innovative and fast paced environment is a must. Drive decisions with focus and clarity.
Passionate about continuous learning, growing, succeeding, and helping out the team and solve complex issues together.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Zoom’s values. We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records as well as any qualified applicants requiring reasonable accommodations in accordance with the law.
We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
All your information will be kept confidential according to EEO guidelines.