A tailored course, built for your situation
Final call on data pipeline architecture without escalation
Make binding technical decisions independently, with confidence and clarity
$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 individual contributor in data engineering or platform software development who owns critical path systems and is expected to exercise technical judgment without constant oversight.
Who this is not for
Engineers who only implement predefined specs without decision input, or those focused solely on front-end or application-layer development with no pipeline ownership.
What you walk away with
- Own the final decision on batch vs. streaming ingestion patterns for new sources
- Approve canonical schema designs without escalation to senior staff
- Set and enforce SLA thresholds for pipeline latency and retry logic
- Document and justify architecture trade-offs using proven evaluation frameworks
- Lead design reviews with backend and analytics teams using decision-grade artefacts
The 12 modules (with all 144 chapters)
Module 1. Defining decision boundaries for IC ownership
Clarify which architecture choices fall within your scope to decide without approval. Map real examples from data ingestion to transformation layers.
12 chapters in this module
- What makes a decision yours to own
- Ingestion method: batch or stream
- Schema ownership threshold
- When to escalate vs. decide
- Defining 'standard' vs. 'exceptional'
- SLA classification framework
- Operational impact levels
- Team interface boundaries
- Review cycle triggers
- Change validation criteria
- Decision logging standards
- Ownership handoff rules
Module 2. Setting ingestion architecture rules
Establish binding rules for how data enters the system, including protocol selection, source validation, and error handling policies.
12 chapters in this module
- Source type classification
- Protocol: API, file, log, or CDC
- Authentication pattern selection
- Payload size thresholds
- Schema drift detection rules
- Error retry backoff strategy
- Dead letter queue routing
- Initial validation checks
- Metadata enrichment requirements
- Monitoring baseline setup
- Rate limiting decisions
- Source deprecation timeline
Module 3. Ownership of schema evolution
Gain confidence in approving field additions, type changes, and backward compatibility decisions for pipeline schemas.
12 chapters in this module
- Semantic versioning for schemas
- Backward compatibility rules
- Field deprecation notice period
- Nullability decision criteria
- Nested structure approvals
- Enum expansion policy
- Timestamp precision standards
- PII field tagging mandate
- Schema registry integration
- Downstream impact checklist
- Breaking change documentation
- Approval workflow bypass
Module 4. Performance threshold sign-off
Set and enforce latency, throughput, and cost-efficiency targets for pipelines without oversight.
12 chapters in this module
- Latency budget definition
- Processing window selection
- Throughput capacity planning
- Cost-per-gigabyte benchmark
- Auto-scaling trigger rules
- Cold start mitigation plan
- Checkpoint frequency settings
- Resource allocation caps
- Error rate tolerance level
- Backpressure handling method
- Retry budget limits
- Alert threshold configuration
Module 5. Pipeline reliability standards
Define what 'reliable' means for your pipelines and enforce it through monitoring, alerting, and recovery protocols.
12 chapters in this module
- Uptime target classification
- Incident severity mapping
- Automated recovery conditions
- Manual intervention threshold
- Rollback readiness check
- Disaster recovery scope
- Alert noise reduction rules
- On-call escalation bypass
- Post-mortem decision ownership
- Drift detection cadence
- Data consistency verification
- Reprocessing authorization
Module 6. Data quality validation ownership
Own the definition and enforcement of quality checks that determine whether data moves forward in the pipeline.
12 chapters in this module
- Completeness threshold
- Accuracy validation method
- Freshness SLA definition
- Duplicate detection logic
- Anomaly detection sensitivity
- Validation failure handling
- Quarantine zone rules
- Reprocessing approval
- False positive review cycle
- Data certification signature
- Stakeholder notification rule
- Quality score calculation
Module 7. Tooling and framework selection
Make final calls on which frameworks and tools are used within your pipeline domain.
12 chapters in this module
- Framework: Airflow vs. Prefect
- Streaming engine choice
- Orchestration pattern approval
- Monitoring tool integration
- Log aggregation standard
- Tracing implementation level
- CI/CD for pipelines
- Testing framework mandate
- Infrastructure-as-code tool
- Secrets management method
- Feature flag usage policy
- Library version governance
Module 8. Cross-team interface decisions
Lead alignment with consuming teams on contracts, formats, and delivery expectations.
12 chapters in this module
- Contract format selection
- Delivery frequency agreement
- Format: JSON, Parquet, Avro
- Compression method approval
- Metadata exposure level
- Access pattern documentation
- Consumer onboarding process
- Feedback loop integration
- Version transition plan
- Dependency deprecation notice
- SLA communication standard
- Support boundary definition
Module 9. Security and compliance sign-off
Approve pipeline configurations that meet internal security and compliance requirements without review.
12 chapters in this module
- Encryption at rest enforcement
- In-transit TLS version
- Authentication method approval
- Audit logging requirement
- PII handling classification
- Masking rule validation
- Retention period setting
- Deletion verification process
- Compliance checklist sign-off
- Third-party tool vetting
- Access review frequency
- Breach response readiness
Module 10. Cost governance decisions
Set budget limits and optimization rules for pipeline resource usage.
12 chapters in this module
- Compute budget per pipeline
- Storage tier assignment
- Auto-pause rules
- Query optimization mandate
- Materialization frequency
- Downsampling policy
- Cost alert threshold
- Resource tagging standard
- Waste detection cadence
- Reserved capacity decision
- Spot instance usage rule
- Cost sharing model
Module 11. Documentation and knowledge ownership
Define what must be documented and ensure it stays current without oversight.
12 chapters in this module
- Architecture decision record standard
- Runbook completeness check
- Onboarding doc requirement
- Failure mode documentation
- Dependency map maintenance
- Owner update protocol
- Diagramming convention
- Change log format
- Version history tracking
- Knowledge transfer checklist
- Review cycle automation
- Archival rule
Module 12. Leading design reviews as the decision owner
Run effective design reviews where you guide input, resolve conflicts, and issue final direction.
12 chapters in this module
- Review agenda structure
- Stakeholder input window
- Alternative evaluation framework
- Trade-off justification language
- Consensus vs. decision clarity
- Conflict resolution method
- Timeline pressure management
- Scope creep prevention
- Follow-up action assignment
- Decision announcement format
- Feedback incorporation rule
- Post-review validation
How this maps to your situation
- When introducing a new data source
- During schema evolution planning
- Before major pipeline refactor
- When responding to performance incidents
Before vs. after
Before
Wait for sign-off on standard pipeline decisions, even when you have the context and expertise.
After
Make binding decisions on ingestion, schema, performance, and reliability, without escalation.
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: 6, 8 hours to complete all modules, with just-in-time application to live projects.
How this compares to the alternatives
Unlike generic software architecture courses, this program focuses exclusively on the concrete decisions ICs make daily in data pipeline ownership, no theory, no abstraction, just decision-grade frameworks used by top engineers.
Frequently asked
Who is this course designed for?
Senior individual contributors in data engineering or platform development who own pipeline architecture and want full decision authority on standard changes.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me lead design reviews?
Yes, Module 12 gives you the exact frameworks to run reviews where you issue final direction, not just collect input.
$199 one-time. 6, 8 hours to complete all modules, with just-in-time application to live projects..
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