Engineering Library
Practical Engineering Resources
A growing collection of reference architectures, templates, and frameworks you can use immediately. We're a new practice, so resources are being published as they're production-ready.
Resources
Reference Architectures
Proven Google Cloud data platform architectures you can adapt.
BigQuery Templates
Query and schema templates for common analytics patterns.
Terraform Modules
Reusable infrastructure-as-code modules for GCP data platforms.
ETL Frameworks
Starting points for reliable, testable ETL/ELT pipelines.
Pipeline Blueprints
End-to-end pipeline designs for common data engineering problems.
Naming Standards
Conventions for datasets, tables, and resources that scale with a team.
Folder Structures
Project layouts for maintainable data engineering codebases.
Deployment Standards
Consistent, repeatable deployment practices for data platforms.
Monitoring Templates
Dashboards and alerting patterns for pipeline health.
Cost Optimization Guides
Practical steps to reduce BigQuery and storage spend.
Security Checklists
Checklists for securing cloud data platforms end to end.
Production Best Practices
Lessons from running data platforms in production.
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