At Apple, we work every day to build products that enrich people's lives! Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Data Products Engineering team is seeking an ambitious and versatile engineering manager to help lead the design and scale of key data systems, delivering data products that solve exciting business problems. Responsibilities range from designing and implementing core stream-processing and batch-processing capabilities, to supporting privacy preserving critical pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will be a leading voice in our technology strategy and its delivery, developing and mentoring team members. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
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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
- Comfortable working in a rapidly changing environment with ambiguous requirements
- Comfortable with rotating on-call for mission-critical applications
- Prior experience in advertising industry
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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