Engineering Manager, Ad Platforms

Austin, Texas, United States Software and Services

Description

At Apple Ads, we are building the next generation of privacy-focused advertising capabilities. As a part of the interfaces and pipelines , we work at the cutting edge of data engineering, machine learning, and privacy at Apple's scale. We are constantly developing data products to provide amazing user experiences and to drive value for developers and publishers. As a part of this team, you will : - Lead a group of talented data engineers and help align the technical direction across the entire Apple Ads data organization- Engineer secure and scalable data processing systems across different execution contexts such as real-time, near real-time, and batch using Spark, Hadoop, Kafka, Cassandra and beyond- Collaborate with a team of world-class data engineers and product managers to apply leading-edge techniques and technologies that process petabytes of realtime streaming and batch events- Require a strong understanding of the intersection between business, analytics, and engineering resulting in a proactive approach, focusing on reusable solutions, to improve efficiency and time to insight- Must be able to work in a rapidly changing environment and perform effectively in a sprint-based, agile development environment- Join and contribute to a distributed culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity. We are one team, nurturing each other's growth and supporting each other in delivering for our customers and Apple

Minimum Qualifications

• 8+ years of industry experience building distributed, scalable data pipelines and data platforms
• 3 + years of experience being a people manager
• BS / MS in Computer Science, Distributed Systems, Software Engineering, or related field
• Proven track record of successful and timely software product delivery with complex dependencies in a distributed environmemt.
• Demonstrated innovative, critical thinking and troubleshooting skills
• History of motivating teams to meet aggressive goals and innovate
• Proficiency with one or more of these programming languages (e.g. Java / Rust / Scala / C++) and ability to pick up new technologies independently
• Strong computer science and data engineering fundamentals
• Expertise in data modeling and Iceberg lake house implementation
• Proficiency in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
• Experience building and scaling systems in the cloud and on premise.
• Strong technical skills with proven experience developing, architecting, and supporting scalable data infrastructure
• Passion for data quality, code elegance, clear documentation, cost saving and operational excellence
• Ability to communicate and collaborate effectively with cross-functional technical and non-technical teams

Preferred Qualifications

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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