A tailored course, built for your situation
Deeper command of the DBT-Snowflake integration framework
Master the patterns, decisions, and configurations that define high-impact data transformations in modern stacks
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
The situation this course is for
Who this is for
Senior Software Engineer working with DBT and Snowflake to build and maintain data transformation pipelines
Who this is not for
Engineers focused only on query writing or dashboard development without involvement in transformation logic or pipeline design
What you walk away with
- Consistent application of DBT best practices across projects
- Full control over model configuration and macro use in Snowflake environments
- Ability to anticipate and resolve pipeline failures before deployment
- Reusable testing frameworks aligned with business logic
- Clear decision rules for when to build, when to reuse, and when to deprecate models
The 12 modules (with all 144 chapters)
Module 1. Core architecture of DBT-Snowflake workflows
Understand how DBT compiles models, interacts with Snowflake objects, and manages dependencies through the DAG.
12 chapters in this module
- How DBT parses model files
- Snowflake schema mapping rules
- Materialization types and trade-offs
- Execution context hierarchy
- Profile-level connection settings
- Project structure conventions
- Dependency graph generation
- Compile vs run phase
- Model naming standards
- Stage vs prod separation
- Environment variable handling
- Session parameter propagation
Module 2. Model design patterns by use case
Match modeling approaches to business problems using proven patterns for staging, mart layering, and aggregation.
12 chapters in this module
- Staging model anti-patterns
- SCD Type 2 implementation
- Bridge table use cases
- Fact table grain definition
- Dimensional modeling in DBT
- Late-arriving dimensions
- Incremental model strategies
- Snapshot vs history tables
- Source freshness checks
- Cross-database joins
- Model ownership tagging
- Documentation-driven design
Module 3. Macro development and reuse
Build and maintain custom logic that standardizes behavior across models and teams.
12 chapters in this module
- Macro syntax fundamentals
- Argument validation patterns
- Conditional SQL generation
- Calling macros from tests
- Packaging for distribution
- Versioning across projects
- Testing macro output
- Debugging macro execution
- Namespace collision handling
- Macro performance impact
- Secure credential exposure
- Template fragment reuse
Module 4. Testing strategy and data quality
Implement test suites that catch errors early and align with business expectations.
12 chapters in this module
- Uniqueness test limits
- Not null validation scope
- Referential integrity checks
- Custom test creation
- Test execution timing
- Failure threshold setting
- Test coverage metrics
- Generated test documentation
- Data validation vs assertion
- Test data mocking
- Error message clarity
- Alerting integration points
Module 5. CI/CD pipeline integration
Connect DBT workflows to version control, testing gates, and deployment automation.
12 chapters in this module
- PR validation checklist
- Automatic compilation checks
- Test gate enforcement
- Deployment window scheduling
- Rollback procedure design
- State-based comparison logic
- Manifest.json inspection
- Job failure root cause tagging
- Pipeline runtime optimization
- Environment drift detection
- Secrets management integration
- Orchestration tool alignment
Module 6. Performance tuning for large datasets
Optimize query plans, warehouse sizing, and materialization timing for speed and cost.
12 chapters in this module
- Explain plan interpretation
- Join order impact analysis
- Predicate pushdown verification
- Clustering key selection
- Partitioning strategy alignment
- Auto-suspend timing
- Multi-cluster warehouse rules
- Caching behavior understanding
- Materialized view trade-offs
- Dynamic table evaluation
- Query tagging standards
- Cost allocation tracking
Module 7. Documentation and discovery
Generate and maintain up-to-date, actionable documentation for all stakeholders.
12 chapters in this module
- Auto-doc generation triggers
- Description writing standards
- Lineage graph interpretation
- Source-to-target mapping
- Business glossary integration
- Custom documentation blocks
- Version history tracking
- Deprecated model handling
- Ownership metadata capture
- Access control alignment
- External tool sync options
- Searchability improvements
Module 8. Governance and policy enforcement
Apply consistent rules for naming, access, and change control across the transformation layer.
12 chapters in this module
- Naming convention enforcement
- Schema change approval flow
- PR review checklist design
- Data classification tagging
- PII detection automation
- Retention policy application
- Cost accountability rules
- Model deprecation lifecycle
- Owner escalation paths
- Change impact assessment
- Audit trail generation
- Policy-as-code implementation
Module 9. Error handling and recovery
Design systems that fail gracefully and recover quickly with minimal manual intervention.
12 chapters in this module
- Error type categorization
- Automatic retry logic
- Failing fast vs graceful degrade
- Dead letter queue setup
- Manual override procedures
- Backfill strategy selection
- Skipped model handling
- Orchestration failure modes
- Alert routing rules
- Run history inspection
- State management recovery
- Checkpoint-based restarts
Module 10. Cross-team collaboration patterns
Enable smooth handoffs, shared ownership, and consistent practices across data teams.
12 chapters in this module
- Inter-team contract design
- Shared macro library governance
- Model interface standardization
- Dependency change notification
- Release coordination timing
- Ownership transfer protocol
- Conflict resolution framework
- Feedback loop integration
- Cross-functional review attendance
- Shared testing baseline
- Onboarding documentation
- Version compatibility planning
Module 11. Advanced configuration management
Master complex project settings, variable scoping, and environment-specific behavior.
12 chapters in this module
- Variable precedence rules
- Target-specific overrides
- Package version pinning
- Custom schema naming
- Thread count optimization
- Query comment configuration
- Adapter-specific settings
- Environment variable security
- Secure credential injection
- Dynamic configuration loading
- Fallback logic design
- Config validation scripts
Module 12. Future-proofing and upgrade paths
Plan for DBT version upgrades, feature adoption, and evolving Snowflake capabilities.
12 chapters in this module
- Breaking change anticipation
- Deprecation warning response
- Feature flag implementation
- Version upgrade checklist
- Community macro evaluation
- Plugin compatibility testing
- Custom adapter maintenance
- New Snowflake function adoption
- Performance regression tracking
- User feedback integration
- Roadmap alignment process
- Legacy technical debt reduction
How this maps to your situation
- When designing a new data mart
- Before finalizing a model layer
- After a pipeline failure
- During team onboarding
Before vs. after
Before
Reliance on trial-and-error when structuring models or debugging pipeline issues
After
Confident, repeatable application of proven patterns and configurations across all DBT-Snowflake projects
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed for just-in-time learning during active project work.
How this compares to the alternatives
Unlike generic tutorials or community forums, this course delivers structured, battle-tested decision logic specifically aligned with enterprise-grade DBT-Snowflake implementations.
Frequently asked
Is this course specific to Snowflake and DBT Cloud?
Yes, all examples, configurations, and templates are based on DBT Core/Cloud with Snowflake, including real-world edge cases.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive support if I get stuck?
The implementation playbook includes direct troubleshooting flows and decision trees for common scenarios.
$199 one-time. Approximately 3 hours per module, designed for just-in-time learning during active project work..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours