A tailored course, built for your situation
Final call on data pipeline architecture, no senior review required
Make irreversible engineering decisions with confidence and clarity, own the design and deployment of ETL systems end to end
$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.
Who this is for
Senior individual contributor in data engineering, working within a scalable cloud data platform environment, responsible for designing and maintaining ETL pipelines with PySpark and Snowflake
Who this is not for
Junior engineers still learning core ETL patterns, managers looking for team-level governance frameworks, or architects focused on cross-platform integration
What you walk away with
- Own final decisions on ingestion strategy (batch vs. micro-batch vs. streaming) for new data sources
- Approve transformation layer structure (orchestration tool, idempotency logic, error handling) without escalation
- Sign off on pipeline deployment topology (dev/prod separation, CI/CD gates, monitoring thresholds)
- Document and justify design choices using precedent-based templates adopted from top-tier data orgs
- Build a personal repository of decision artefacts that demonstrate technical leadership
The 12 modules (with all 144 chapters)
Module 1. Defining ownership boundaries in senior IC roles
Understand how top-tier data engineers position themselves as authoritative decision-makers within IC tracks, with clear demarcation from managerial or review-based roles.
12 chapters in this module
- What senior IC ownership looks like
- Decision boundaries in data engineering
- IC vs. manager escalation paths
- Precedent from FAANG data roles
- Mapping autonomy to impact
- The scope of pipeline-level authority
- How to avoid over-escalation
- Documenting personal ownership
- Aligning authority with accountability
- Balancing innovation and stability
- Signals of technical leadership
- Creating role clarity upfront
Module 2. Ingestion strategy: final call on source integration
Take ownership of ingestion decisions including frequency, format handling, and error tolerance, justify each with operational and cost tradeoffs.
12 chapters in this module
- Batch vs. streaming: when to decide
- File format selection criteria
- Schema drift response protocols
- Source system availability assumptions
- Cost of reprocessing calculations
- Handling inconsistent upstream data
- Setting retry thresholds
- Ownership of SLA definitions
- Negotiating with data providers
- Cold start ingestion patterns
- Validation at entry points
- Documenting ingestion decisions
Module 3. Orchestration tool selection and configuration
Make the final choice on workflow engines and their setup, based on team maturity, monitoring needs, and recovery requirements.
12 chapters in this module
- Airflow vs. Prefect vs. Dagster
- Managed vs. self-hosted tradeoffs
- Defining DAG structure standards
- Failure notification routing
- Backfill safety controls
- Permission model design
- Monitoring integration points
- Version control for workflows
- Pause and resume protocols
- Dependency management rules
- Scheduling conflict resolution
- Ownership of orchestration health
Module 4. Transformation layer design authority
Own the structure of transformation logic, including modularity, idempotency, and testing coverage, without requiring architectural approval.
12 chapters in this module
- Monolithic vs. modular transforms
- Idempotency by design principles
- Error record quarantine setup
- Testing strategy for PySpark jobs
- Schema evolution handling
- Checkpointing frequency decisions
- Partitioning strategy ownership
- Resource allocation tuning
- Logging verbosity levels
- Data quality rule placement
- Handling PII in transforms
- Versioning transformation code
Module 5. Snowflake-specific deployment decisions
Control schema layout, warehouse sizing, and Snowpipe activation, based on workload patterns and cost efficiency.
12 chapters in this module
- Database-schema-table hierarchy
- Multi-cluster warehouse sizing
- Auto-suspend timing rules
- Snowpipe vs. external stages
- COPY INTO error handling
- Zero-copy cloning use cases
- Time travel retention settings
- Search optimization choices
- Materialized view deployment
- Secure data sharing setup
- Tag-based masking policies
- Ownership of cost alerts
Module 6. CI/CD pipeline sign-off for ETL systems
Approve the full deployment pipeline from dev to prod, including testing gates, rollback triggers, and promotion workflows.
12 chapters in this module
- Branching strategy for data code
- Unit test coverage thresholds
- Integration test environments
- Staging validation protocols
- Automated promotion rules
- Manual approval gate design
- Rollback procedure ownership
- Change logging requirements
- Deployment window selection
- Monitoring smoke tests
- Access control for CD
- Ownership of deployment failure
Module 7. Monitoring and alerting ownership
Define what gets monitored, when alerts fire, and who responds, building a self-contained operational model for your pipelines.
12 chapters in this module
- Latency threshold definition
- Data freshness alert rules
- Volume change detection
- Failure rate baselines
- Alert routing to on-call
- Dashboard ownership
- Incident response playbooks
- Mean time to recovery targets
- False positive tuning
- Silence window policies
- Escalation path design
- Post-mortem documentation
Module 8. Data quality rule ownership
Set and enforce data quality standards at each pipeline stage, without relying on central governance teams for sign-off.
12 chapters in this module
- Completeness checks per field
- Uniqueness validation methods
- Accuracy verification sources
- Consistency across batches
- Freshness SLAs definition
- Anomaly detection thresholds
- Rule execution frequency
- Failed record quarantine
- Notification on DQ breach
- Rule versioning and history
- Ownership of false positives
- Documentation of DQ logic
Module 9. Cost governance and optimization
Make tradeoffs between performance and spend, own the budget implications of pipeline design and tuning.
12 chapters in this module
- Warehouse credit tracking
- Query optimization ownership
- Storage lifecycle policies
- Clustering key selection
- Micro-partition management
- Fail-fast cost checks
- Cost per pipeline reporting
- Budget overrun thresholds
- Downgrade protocols
- Spot instance use cases
- Cost-aware development habits
- Ownership of overruns
Module 10. Documentation and knowledge ownership
Produce living artefacts that justify decisions and enable continuity, without waiting for external reviewers to sign off.
12 chapters in this module
- Architecture decision records
- Runbook creation standards
- Data lineage documentation
- Onboarding guide ownership
- Pipeline metadata management
- Decision rationale templates
- Versioned documentation
- Internal knowledge sharing
- Searchable documentation setup
- Ownership of outdated docs
- Change notification methods
- Audit-ready artefact prep
Module 11. Stakeholder communication authority
Control how pipeline status, changes, and risks are communicated, without requiring manager approval for updates.
12 chapters in this module
- Status update frequency
- Outage communication templates
- Change advisory notices
- Stakeholder expectation setting
- Escalation notification design
- Data delay justification scripts
- Ownership of misalignment
- Feedback loop integration
- Proactive risk disclosure
- Meeting facilitation control
- Presentation ownership
- Documentation as communication
Module 12. Building a defensible decision portfolio
Compile a personal repository of approved designs, decisions, and outcomes that demonstrate consistent technical leadership.
12 chapters in this module
- Selecting portfolio-worthy projects
- Anonymizing sensitive details
- Highlighting complexity handled
- Showing cost-impact tradeoffs
- Demonstrating risk mitigation
- Including stakeholder feedback
- Versioning decision artefacts
- Organizing by business impact
- Linking to operational outcomes
- Using portfolio for promotion
- Sharing selectively with leads
- Maintaining ongoing updates
How this maps to your situation
- When designing a new ingestion pipeline from an external API
- When rebuilding a legacy ETL job in PySpark
- When responding to a production pipeline failure
- When proposing a new data product to analytics teams
Before vs. after
Before
Decisions on pipeline design are escalated or delayed pending review, limiting ownership and slowing delivery.
After
You make and document final calls on architecture, deployment, and operations, building a track record of independent technical leadership.
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: 45, 60 minutes per module, designed to be completed over 6, 8 weeks with real-world application between modules.
How this compares to the alternatives
Unlike generic data engineering courses, this program focuses exclusively on decision ownership, giving you the tools to act with authority, not just technical skill.
Frequently asked
Is this course about learning PySpark or Snowflake?
No. This course assumes your technical fluency and focuses on owning the decision-making around how those tools are used in production.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get promoted?
It builds the kind of documented, owned technical decisions that are typically required for senior IC advancement.
$199 one-time. 45, 60 minutes per module, designed to be completed over 6, 8 weeks with real-world application between modules..
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