GCP Data Pipeline - Bronze Silver Gold — GCP architecture diagram

About This Architecture

GCP Data Pipeline implements the medallion architecture (Bronze-Silver-Gold) using Cloud Composer, Dataflow, and BigQuery to transform raw data into governed, analytics-ready assets. Data flows from diverse sources through Cloud Storage landing zones into Bronze datasets, then through Dataflow transformations and BigQuery routines for deduplication and normalization into Silver, and finally into Gold semantic layers with aggregates and facts. Dataplex provides unified governance, lineage, and catalog across all layers, while Vertex AI and Looker enable downstream analytics and intelligence. This architecture demonstrates enterprise data platform best practices: separation of concerns by maturity tier, infrastructure-as-code via Terraform, security via VPC Service Controls and DLP, and observability through Cloud Logging and Monitoring.

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How do I design a medallion architecture data pipeline on Google Cloud Platform?

This diagram shows a production GCP data pipeline using Cloud Composer to orchestrate Dataflow jobs that ingest raw data into Bronze Cloud Storage and BigQuery datasets, then transform through Silver layers with deduplication routines, and finally aggregate into Gold semantic datasets. Dataplex provides unified governance and lineage across all tiers, while VPC Service Controls, DLP, and IAM enfor

GCP Data Pipeline - Bronze Silver Gold

GCPadvanceddata-engineeringmedallion-architectureBigQueryDataflowdata-governance
Domain: Data EngineeringAudience: Data engineers building medallion architecture pipelines on Google Cloud Platform
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Created by

August 7, 2026

Updated

August 17, 2026 at 10:14 PM

Type

architecture

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