Engineering Leader, Data Engineering

Apples Media Services organization is home to App Store Apple Music Apple TV and more. Our services touch hundreds of millions of lives daily. At the center of these services is data: the pipelines platforms and intelligence that power how people discover and engage with media content all built on Apples unwavering commitment to are looking for an experienced engineering leader to build and lead the data engineering organization responsible for this foundation. If you are energized by working at a massive scale building high-performing teams and evolving data architecture for the AI era on one of the worlds most influential platforms this role was made for you.

As a data engineering leader within Media Services you will direct a large organization responsible for the design development and operation of massive-scale data pipelines and services across Apples commerce payments and content domains. Your teams work powers customer-facing features like search and personalization as well as critical reporting and analytics for internal and external partners all built to Apples exacting standards for reliability quality and privacy. Crucially you will lead the team through a critical evolution: shifting from traditional data pipelines to an AI-first paradigm architecting systems that produce the ML-ready data necessary to fuel machine learning applications at is a deeply cross-functional leadership role. You will collaborate with engineering and business organizations across Apple influence platform strategy at the executive level and build a high-performing culture where engineers are empowered to deepen their expertise and extend their impact across the organization.

Lead a large data engineering organization setting technical direction defining team structure and building a culture of ownership craft and continuous the design development and operation of massive-scale data pipelines and services that support commerce payments and content domains for Apples Media Services technology modernization programs leading the shift toward an AI-first data architecture and executing large-scale migrations with minimal disruption to downstream with engineering product and applied research teams across Apple to align platform capabilities with the needs of customer-facing features internal reporting and external partner develop and retain exceptional engineering talent empowering individuals to expand their technical reach and growing future and uphold engineering standards for data quality reliability scalability and privacy across the data strategy program progress and cross-team dependencies clearly to senior engineering leadership and executive stakeholders.

10 years of engineering experience including 5 years leading large engineering organizations (50 engineers) with multiple layers of track record of recruiting developing leadership talent and building high-performing engineering cultures at architectural expertise in large-scale data systems with strong instincts for technical excellence and software engineering best success planning and executing large-scale technology modernization or platform migration to shift seamlessly between deep technical details and big-picture strategy with the judgment to know when each is leading geographically distributed engineering teams across multiple time communication skills able to drive clarity in ambiguity distill complex concepts concisely and effectively engage stakeholders at all cross-functional collaboration skills with a track record of influencing outcomes across diverse engineering organizations without direct authority.

Hands-on experience with large-scale data processing and streaming technologies such as Spark Flink Kafka Apache Iceberg and in AI and machine learning applications within data engineering contexts such as feature pipelines model serving infrastructure or ML platform operating data platforms at consumer-internet scale with a deep appreciation for the intersection of data quality privacy and user-facing in commerce payments digital content or media with Apples privacy principles or equivalent experience designing data systems with privacy-by-default of driving cross-organizational data platform standards or governance programs adopted across multiple engineering teams.