Staff Engineer, App Store Analytics & Data Engineering

The App Store is the world’s safest and most vibrant app marketplace, serving

more than 850 million visitors each week. Since the App Store launched in 2008,

it has helped creators, dreamers, and learners of all ages and backgrounds

connect with the tools and technology they need to build a brighter future and a

better world. The team continues to innovate the platform - which is home to

over 2 million apps in over 40 languages and 175 regions around the world. A

significant driver of the global economy, the App Store facilitates over $1

trillion in developer billings and sales annually, rewarding developers and

entrepreneurs for their hard work and creativity. And we believe we’re just

getting started! The App Store Analytics & Data Engineering team builds

privacy-first advertising and measurement systems at Apple scale - enabling

developers to reach users, measure campaign effectiveness, and drive growth on

our platform. We are seeking an experienced, innovative, and driven architect /

leading engineer to define vision and push the boundaries of privacy-preserving

measurement technologies driving both trust and utility for our users and app

developers.

DESCRIPTION

In this role you will design and lead implementation of core mechanisms that

support marketing measurement in a privacy-preserving environment. This role

requires strong systems thinking, careful consideration of trade-offs, and the

ability to translate complex ideas into simple, scalable platform capabilities.

You will work at the intersection of system architecture, privacy engineering,

and advertising ecosystem - shaping how measurement frameworks evolve at global

scale. The ideal candidate possesses a deep understanding of the advertising

technology landscape, a passion for data-driven measurement, a proven ability to

contribute to and communicate a compelling product vision, and a deep commitment

to user privacy.

MINIMUM QUALIFICATIONS

10+ years of experience in software engineering Demonstrated ability to define

and drive long-term technical strategy, influencing product direction and

engineering roadmaps Proven track record of leading the design and delivery of

complex, high-impact data or measurement platforms at global scale Deep

expertise in distributed systems and data warehousing concepts (Java, Python,

Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake) Strong SQL, data analysis and

visualization skills to define hypotheses, evaluate experiments, measure

business impact, and communicate insights effectively Hands-on knowledge of the

advertising technology ecosystem, including attribution, measurement, and

optimization methodologies Exceptional communication and leadership skills, with

experience influencing senior leadership and aligning cross-functional

stakeholders Bachelor’s degree in Computer Science, Computer Engineering or

equivalent experience

PREFERRED QUALIFICATIONS

Experience designing or deploying privacy-enhancing technologies such as

differential privacy, federated learning, secure multi-party computation, or

on-device intelligence Understanding of privacy related regulations and policies

(e.g., GDPR, CCPA) and their impact on system design Participation in industry

standards committees focused on privacy or advertising measurement Deep

expertise in advertising measurement domains such as attribution modeling,

incrementally testing, conversion measurement, or campaign optimization

Experience building publicly facing platforms or APIs with a focus on usability,

scalability, and ecosystem adoption