Snowflake Terraform Workshop: Infrastructure as Code for Data Engineers

Learn how to manage Snowflake infrastructure using Terraform in this comprehensive hands-on workshop. From setting up AWS S3 for state storage to deploying databases, warehouses, and roles through GitHub Actions, this workshop covers everything you need to implement infrastructure as code for Snowflake. 📚 WHAT YOU'LL LEARN THEORY: • What is Terraform and why use it for Snowflake • Terraform state file management and team collaboration • Snowflake security requirements: key pairs for service users • Repository structure: backend, providers, and YAML configuration • Role-based access control: functional roles and permissions • Naming conventions and environment management • Best practices: dedicated warehouses, DynamoDB locking, and more HANDS-ON: • Setting up AWS S3 bucket for Terraform state storage • Creating IAM user and policies for Terraform • Generating Snowflake RSA key pairs • Creating Snowflake service account with proper roles • Configuring Terraform backend and providers • Setting up GitHub Actions workflows • Configuring GitHub secrets and environments • Creating databases, warehouses, and roles via YAML • Deploying infrastructure through GitHub Actions • Understanding role hierarchy and access grants ⏱️ TIMESTAMPS 0:18 - Introduction to Terraform: an infrastructure as code tool 1:35 - Why teams use Terraform: repeatable infrastructure and version control 2:37 - Understanding Terraform state file: tracking managed resources 4:21 - Terraform guide overview: quick start for first resources 15:37 - Three basic Terraform commands: init, plan, and apply 16:19 - Storing state file in S3: sharing state with teammates 17:32 - Hands-on: Creating S3 bucket, IAM policy, and user 23:46 - Generating Snowflake key pairs: private and public keys 25:44 - Creating Snowflake service account: Terraform user setup 29:21 - Snowflake security requirements: key pairs for service users 30:32 - Repository structure overview: backend, config, and environment files 32:14 - Backend configuration: S3 bucket setup for state storage 35:54 - Provider configuration: connecting Terraform to Snowflake 39:12 - GitHub Actions workflow: plan, deploy, and destroy 40:42 - YAML configuration files: defining databases, warehouses, and roles 45:04 - Setting up GitHub secrets: AWS keys and Snowflake private key 47:25 - Creating GitHub environments: dev and production 49:15 - Running GitHub Actions workflow: terraform plan and deploy 55:39 - Walking through Terraform files: locals, grants, databases, warehouses 57:58 - Understanding role-based access: read vs read-write permissions 1:00:33 - Functional roles explained: analyst, developer, ingestion, transform 1:08:13 - Naming conventions: environment prefixes and consistent naming 1:12:28 - Best practices: dedicated warehouses per team/service for cost tracking 1:15:03 - Role hierarchy: understanding CIS admin, functional roles, and database roles 📖 RESOURCES MENTIONED • Terraform Snowflake Provider Documentation • AWS S3 for Terraform State Storage • GitHub Actions for CI/CD • DynamoDB for State Locking (best practice) • Snowflake Key Pair Authentication • Terraform Guide: Building First Resources 💡 KEY TAKEAWAYS ✅ Terraform enables infrastructure as code for Snowflake ✅ State file in S3 allows team collaboration ✅ Service users require key pair authentication (no passwords) ✅ YAML configuration makes resource management flexible ✅ GitHub Actions automates Terraform deployments ✅ GitHub Secrets securely store credentials ✅ Environments separate dev and production deployments ✅ Role-based access provides granular permissions ✅ Naming conventions ensure consistency ✅ Dedicated warehouses help track costs per team/service ✅ DynamoDB prevents state file corruption in large teams ✅ Start simple, add complexity as needed 🎓 This is a hands-on workshop from Surfalytics Data Engineering Course. Perfect for data engineers looking to implement infrastructure-as-code for Snowflake! #Terraform #Snowflake #InfrastructureAsCode #DataEngineering #DevOps #GitHubActions #AWS #S3 #DataEngineering #DataEngineer #Surfalytics #FreeCourse #TerraformTutorial #SnowflakeTutorial #InfrastructureAsCode #DevOpsTutorial #CI/CD #DataEngineeringCourse