Lead Architect, Ads Measurement

The App Store is the worlds 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 were just getting started! The App Store Analytics u0026 Data Engineering team builds privacy-first advertising and measurement systems atnApple 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.

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.

Design build and evolve scalable privacy-preserving measurement systems that achieve utility with user privacy guaranteesnDefine and extend core platform capabilities (e.g. attribution aggregation and reporting) for use by large-scale ecosystemnTranslate architectural concepts into clear and usable platform APIs analyze system behavior at scale to ensure robustness efficiency and consistencynPartner with cross-functional engineering product policy and legal teams to drive product u0026 technical vision align on requirements and ensure end-user satisfactionnClearly communicate complex technical concepts and trade-offs to diverse audiences including senior leadership to set direction and drive decisionsnAnalyze trade-offs between accuracy performance and privacy and guide decision-making with data and experimentation

10 years of experience in software engineeringnDemonstrated ability to define and drive long-term technical strategy influencing product direction and engineering roadmapsnProven track record of leading the design and delivery of complex high-impact data or measurement platforms at global scalenDeep expertise in distributed systems and data warehousing concepts (Java Python Spark Trino Hadoop Cassandra Kafka Snowflake)nStrong SQL data analysis and visualization skills to define hypotheses evaluate experiments measure business impact and communicate insights effectivelynHands-on knowledge of the advertising technology ecosystem including attribution measurement and optimization methodologiesnExceptional communication and leadership skills with experience influencing senior leadership and aligning cross-functional stakeholdersnBachelors degree in Computer Science Computer Engineering or equivalent experience

Experience designing or deploying privacy-enhancing technologies such as differential privacy federated learning secure multi-party computation or on-device intelligencenUnderstanding of privacy related regulations and policies (e.g. GDPR CCPA) and their impact on system designnParticipation in industry standards committees focused on privacy or advertising measurementnDeep expertise in advertising measurement domains such as attribution modeling incrementally testing conversion measurement or campaign optimizationnExperience building publicly facing platforms or APIs with a focus on usability scalability and ecosystem adoption