PrincipalCustomerDataPlatformEngineer

Several years of experience owning customer-data or data-platform architecture in a product-led organisation operating at meaningful scale, Hands-on experience with first-party data architecture: capture, routing, identity resolution, and the architectural trade-offs across collection paradigms and across the real-time / batch boundary, Deep technical fluency across the modern data stack: cloud warehouse (BigQuery, Snowflake or equivalent), dbt, reverse ETL (Hightouch or equivalent), event collection (client and server-side), and at least one major activation platform, working knowledge of the customer data platform ecosystem — packaged, composable, and warehouse-native patterns — and clear views on where each fits, Hands-on experience with identity resolution in production — deterministic, probabilistic, or both — not only at the conceptual level, Deep familiarity with consent architecture in practice: how consent signals propagate across server-side capture, Consent Mode, conversion APIs, and reverse ETL, and how to make compliance enforceable at the platform layer rather than per-implementation, Working knowledge of experimentation platforms and what good experimentation data looks like end-to-end, A track record of leading architecture decisions across functions — framing options, running evaluations, producing decision records, and bringing stakeholders to alignment, Experience working alongside Engineering teams as a technical peer — setting specs they implement, reviewing their work, and being trusted to do so, written communication, A proactive, self-starter mindset