Senior Engineering Manager, Core Content Engagement Analytics And Data

Senior Engineering Manager, Core Content Engagement Analytics And Data

Apple Services Engineering (ASE) is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more. Our Analytics and Data Engineering team is looking for a world-class Engineering Manager to lead our Core Content Engagement Data team. This team is responsible for building scalable and robust data processing applications, powering content engagement data feeds across multiple Apple Services lines of business. These processes are critical for providing accurate and timely insights that drive product development, marketing strategies, royalty payouts and overall business growth. As an engineering leader, you will play a pivotal role in shaping the future of our data processing strategy and empowering a group of highly skilled engineers to innovate in this space. The people here at Apple don't just build products — they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!

Responsibilities

• Providing technical leadership and guidance to the engineering team.
• Architecting and designing scalable and efficient data processing pipelines.
• Measuring and constantly improving data quality as well as system reliability and performance.
• Collaborating with cross-functional teams to define data requirements.
• Mentoring and developing engineers to grow their skills and careers.
• Driving innovation and exploring new technologies to improve our data infrastructure.
• Managing project timelines, resources, and budgets.
• Ensuring compliance with data privacy and security policies.

Minimum Qualifications

• Experience leading engineering teams.
• Experience leading engineering projects from inception to shipped software through several iterations and release cycles.
• Hands-on experience architecting and designing large-scale data processing applications.
• Excellent communication, collaboration, and interpersonal skills, especially in cross-functional settings.

Preferred Qualifications

• Experience with big data technologies, especially real-time stream processing with Apache Flink, Kafka, and Cassandra.
• Strong understanding of data engineering principles and best practices.
• Experience with SQL as well as analytics and reporting tools.
• Experience delivering AIML engineering projects, especially in the GenAI space.
• A passion for mentoring and developing engineers.

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.