Staff Software Engineer, Conversion Data Privacy
Leads architecture of privacy-preserving conversion data platforms for ads monetization, owning pipelines for de-identification, access controls, and policy enforcement. Requires 8+ years in large-scale data systems, proficiency in Java/Scala/Python/SQL, and cross-functional leadership.
Team & Mission
The Privacy & Conversion Data team builds and operates core privacy infrastructure for ads reporting and optimization, including controlled data environments, fine-grained access controls, centralized privacy rules enforcement, and de-identification pipelines for conversion data. Mission: Make conversion data privacy-preserving by default—centralized, de-identified, auditable, and easy to use while maintaining utility for advertisers.
Role Summary
Lead architecture and technical direction for the conversion data privacy platform, owning end-to-end design of privacy-critical pipelines and services. Partner with Product, Data Science, Legal, and infrastructure teams to use conversion data safely at scale.
What you’ll do:
- Lead technical strategy and architecture for conversion data privacy across access controls, de-identification, deletion, and privacy rules enforcement.
- Design core privacy infrastructure including controlled environments, fine-grained authorization, policy enforcement, and central policy repository.
- Own de-identification pipelines for ads reporting end-to-end, from data separation to validation and feeding reporting surfaces.
- Build privacy frameworks and tooling for online/offline workflows to enable self-service compliant data usage.
- Drive operational excellence with SLAs, monitoring, alerting, incident response, and deletion workflows.
- Partner cross-functionally to translate requirements into designs and align on roadmaps.
- Mentor engineers, lead reviews, and establish best practices for privacy-by-design and large-scale data systems.
What we’re looking for:
- BS+ in Computer Science or equivalent.
- 8+ years software engineering experience in large-scale data or distributed systems.
- Proficiency in Java/Scala/Kotlin or Python, SQL; big data ecosystems a plus.
- Experience designing secure systems, APIs, data modeling, access control, performance.
- Experience in privacy-preserving systems, ads measurement/attribution, or large-scale analytics.
- Ability to drive cross-team initiatives with non-engineering partners.
- Strong communication, leadership, mentoring skills.
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