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This is Part 2 of the Snowflake CI/CD Series. In this episode, we build the environment architecture required for production-grade DevOps in Snowflake. CI/CD without environment isolation is not CI/CD — it’s just scripting. 🔎 What We Build In this session we create: Dedicated virtual warehouses (DEV, UAT, PROD) Separate databases per environment Isolated schemas Environment-specific deploy roles Passwordless CI/CD service users RSA key-based authentication Least-privilege role design This mirrors real enterprise production environments used in regulated industries such as NHS, Finance, and Government. 🏗 Architecture Pattern We implement: One Snowflake account Three logical environments Environment-specific warehouses Environment-specific roles Dedicated CI/CD users per stage This ensures: Safe promotion (DEV → UAT → PROD) Controlled privilege boundaries Reproducible deployments Secure automation via GitHub Actions 🧱 SQL Covered in This Video We create: WH_DEV, WH_UAT, WH_PROD NHS_DEV, NHS_UAT, NHS_PROD ROLE_DEV_DEPLOY, ROLE_UAT_DEPLOY, ROLE_PROD_DEPLOY CICD_DEV, CICD_UAT, CICD_PROD RSA key-based authentication setup 📌 Why This Matters Most Snowflake demos: Use a single warehouse Use a single database Ignore separation of duties Ignore security posture Real production systems require: Role isolation Warehouse cost boundaries Privilege scoping Secure service accounts This is how you design Snowflake for production. 🔗 Series Structure 1️⃣ Git Integration & Token Setup 2️⃣ DEV / UAT / PROD Infrastructure ✅ (this episode) 3️⃣ Schemachange Migration Workflow 4️⃣ GitHub Actions CI/CD Pipeline 5️⃣ End-to-End Promotion Demo 👤 About This Channel I’m Ahmed Mahmoud — Principal Data Engineer & AI Architect. This channel focuses on: Production-grade Snowflake architecture DevOps for Data Secure CI/CD pipelines Enterprise-ready engineering patterns Subscribe if you build systems that must survive audits and scale responsibly.