Principal GCP Data Architect
- Posted a month ago
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Job Description
- 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.
- 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).
- 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.
More Info
Key Skills
Looker
GCP Data Stack
GKE
BigLake
Confluent Kafka
Cloud Composer
BigQuery ML
Vertex AI
Google Cloud Storage
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