Principal Engineer, Architecture — Audiences & Measurement

WHAT YOU'LL DO

Set architectural direction and technical standards across measurement and audience systems, ensuring they scale reliably and remain extensible as new data sources and products come online

Lead system design for high-impact, cross-team initiatives, balancing near-term delivery with long-term platform health

Drive architectural convergence between audiences/segments and measurement so they function as one cohesive system

Help define our technical approach to data clean room integrations, as measurement partnerships increasingly require privacy-safe data collaboration

Act as a technical thought partner to engineering leadership, raising the bar on design rigor, code quality, and operational excellence

Mentor senior and staff-level engineers, and drive alignment on architecture across teams that own adjacent parts of the measurement/audiences stack

Identify and de-risk technical debt, scalability bottlenecks, and single points of failure before they become organizational blockers

WHO YOU ARE

Extensive experience architecting large-scale, data-intensive systems (streaming/batch pipelines, distributed data stores, or audience/measurement platforms)

A track record of technical leadership at scale without direct reports — driving alignment across teams through influence and design rigor

Strong system design fundamentals: data modeling, distributed systems tradeoffs, scalability and reliability patterns

Strong cross-functional communication skills, with experience partnering across product, data science, and multiple engineering teams

Comfortable operating with significant ambiguity and defining technical direction where none currently exists

Ad tech or adjacent industry experience

Experience with data clean rooms — clean room-based collaboration is an area we expect to grow significantly within measurement

Background working across multiple time zones or with globally distributed engineering teams .