Zoom is looking to solve the problem of unifying customer data across its ecosystem and transaction tools to enhance efficiency and address business use cases, by designing and implementing secure, scalable solutions supporting global marketing operations.
Requirements
- Be proficient in Python with advanced database skills, including complex SQL, performance optimization, and large-scale data processing.
- Possess experience in data engineering and architecture, building batch and streaming pipelines using platforms such as Apache Airflow and Kafka.
- Have knowledge of real-time data processing frameworks (Apache Flink, Spark Streaming) for eventdriven marketing
- Possess experience with Customer Data Platforms such as Salesforce Data Cloud, and Marketing Automation Platforms including HubSpot and Salesforce Marketing Cloud.
- Have knowledge of customer data management, data privacy regulations and secure data architecture.
- Have demonstrated expertise in digital marketing technologies, including advanced data analytics tools and marketing automation platforms.
- Own experience in cloud-native technologies with CI/CD pipelines or modern JavaScript frameworks (React, Angular, or Vue.js)
Responsibilities
- Unifying customer data across the Zoom ecosystem and transaction tools to enhance efficiency and address business use cases.
- Integrating data across warehouses (Snowflake, Databricks), transaction platforms (Salesforce), web analytics, and product usage metrics to create a unified data ecosystem.
- Implementing business use cases across CDPs, ABM platforms, and MAPs (e.g., Salesforce Data Cloud, SFMC, Pardot) to enable seamless omnichannel integration.
- Designing event-based triggers responding to user actions and content behavior, delivering personalized messaging across email, SMS, WhatsApp, social, video ads, and in-app notifications.
- Identifying Resolution & Customer 360: Maintaining unified customer profiles through deterministic and probabilistic matching rules to ensure consistent cross-channel customer experiences.
- Leveraging Artificial Intelligence to Enhance Productivity and Accelerate Business Use Case Implementation
- Monitoring and auditing of data flows with complete log visibility for enhanced control.
Other
- Have a BS or MS in Engineering, Computer Science, or a related technical field.
- Working closely with Engineering, Product Management, Sales, and Marketing teams to align technical roadmaps with market needs.
- Problem-solving ability and a blend of technical and business acumen.
- We have a location based compensation structure; there may be a different range for candidates in this and other locations
- Our structured hybrid approach is centered around our offices and remote work environments.
