Staff Engineer, App Store Analytics & Data Engineering

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.

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

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