Senior GCP Data Architect — Short Technical Peer Review

We are looking for a Senior Data Platform / Cloud Architect with strong hands-on GCP experience to perform a short independent review of an existing data architecture. The platform connects digital marketing and advertising data with CRM and downstream operational outcomes to support attribution, reporting and controlled conversion signals back to advertising platforms. Current stack includes: - GCP - BigQuery - Cloud Run - Dataform - GCP IAM / Service Accounts - Supabase / PostgreSQL - APIs and webhooks - Google Ads / Meta integrations The architecture is already substantially designed and implemented. The goal is not to redesign it, but to help the solution owner validate a small number of technical decisions before production. Review scope Cross-system identity and data contracts Supabase ↔ BigQuery interface Idempotency, retries, duplicate prevention and corrections GCP IAM and service accounts Data quality, reconciliation, monitoring and quarantine Expected engagement Up to 1 hour reviewing supplied materials One 2-hour technical working session Short bullet-point summary of material concerns or recommendations Total effort: approximately 3–4 hours. Strong experience with production GCP data platforms, BigQuery, Cloud Run, PostgreSQL, IAM, APIs/webhooks and idempotent data integrations is required. Experience with marketing attribution architectures that connect Google Ads / Meta data with CRM or downstream business outcomes is a strong plus.