Enterprise data platform architecture integrating DYT requirements, 3D models, simulation outputs, and test data across multiple AWS subnets within a VPC. Data flows from ingestion sources through governance layers (cleaning, normalization, quality checks, classification) into storage systems: RDS PostgreSQL for structured metadata, Timestream for time-series test data, and S3 buckets for models and simulation libraries. Unified APIs and microservices expose data to business applications including design evaluation, digital mockup testing, and multi-discipline simulation tools. This architecture demonstrates best practices for managing heterogeneous engineering data sources while maintaining governance, quality, and secure cross-platform access at scale. Fork this diagram to customize subnets, add additional storage tiers, or integrate with your CI/CD pipeline for infrastructure-as-code deployment. Consider adding VPC endpoints for private S3/RDS access and CloudWatch monitoring for data quality metrics in production environments.