Principal GCP Data Architect

We are seeking a hands-on Principal GCP Data Architect to lead the design, and implementation of large-scale data ecosystems. The ideal candidate is an architect who has led massive cloud migrations, built self-serve data platforms from the ground up, and maintains a rigorous focus on data governance and security. Technical Requirements: Cloud Expertise: Expert-level mastery of the GCP Data Stack: Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage. Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow). Messaging: Pub/Sub and Confluent/Kafka integration. Analytics & AI: Looker, Vertex AI, and BigQuery ML. Certifications: Must hold an active GCP Professional Data Engineer certification. DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high level of technical proficiency and architectural maturity. Modern Data Stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes). Experience & Qualifications: Years of Experience: 18–20 years in Data Engineering, Data Warehousing, and Business Intelligence, with at least 6+ years focused specifically on GCP. Migration Track Record: Proven experience leading at least two enterprise-scale migrations (PB-scale) to the cloud. Leadership: Demonstrated experience leading large, cross-functional engineering teams in an Agile/DevOps environment. Education: Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.