A tailored course, built for your situation
Deeper command of data pipeline governance frameworks
Master the standards and systems that define trusted data flows in regulated financial environments
$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 Data Engineer in a regulated financial services environment, responsible for designing and maintaining governed, auditable data pipelines that align with compliance and risk standards.
Who this is not for
Entry-level analysts, BI developers without pipeline ownership, or engineers in non-regulated sectors where data governance is lightweight or ad hoc.
What you walk away with
- Confidently map data pipeline components to governance controls (DCAM, ISO 8000, internal policy)
- Produce lineage documentation that passes audit scrutiny the first time
- Anticipate compliance review questions and preempt gaps in pipeline design
- Lead internal discussions on data quality thresholds and control placement
- Navigate trade-offs between agility and governance with documented rationale
The 12 modules (with all 144 chapters)
Module 1. Foundations of governed data pipelines
Establish the core principles of data governance in financial services, focusing on traceability, ownership, and control lifecycle. Align engineering work with compliance objectives from intake to output.
12 chapters in this module
- What governance means for engineers
- Regulatory drivers in financial data
- Data ownership models
- Lifecycle of a data asset
- Control points in pipelines
- Audit expectations demystified
- Mapping standards to code
- Common pitfalls in logging
- Versioning with integrity
- Documentation as design
- Compliance through architecture
- Case study: one firm's turnaround
Module 2. ISO 8000 in practice
Decode ISO 8000 not as abstract policy but as actionable engineering guidance for data quality, metadata, and exchange. Implement its clauses in real pipeline components.
12 chapters in this module
- ISO 8000 scope explained
- Data quality dimensions
- Metadata completeness
- Exchange readiness
- Schema versioning
- Validation thresholds
- Error handling standards
- Test data governance
- Mapping to ETL steps
- Certification prep
- Internal alignment
- Worked example: client data
Module 3. DCAM fundamentals for engineers
Translate DCAM's domains into technical decisions, from data provisioning to control monitoring, so engineers can own governance outcomes, not just follow checklists.
12 chapters in this module
- DCAM overview
- Data provisioning controls
- Onboarding traceability
- Pipeline ownership
- Data quality monitoring
- Control automation
- Metadata integration
- Change management
- Stewardship roles
- Audit alignment
- Reporting design
- Maturity benchmarks
Module 4. Data lineage from code to compliance
Build lineage not as a retrospective report but as a first-class engineering output, automated, versioned, and audit-ready by design.
12 chapters in this module
- Lineage as architecture
- Source tagging methods
- ETL metadata capture
- Automated lineage tools
- Versioned lineage graphs
- Gaps in open-source tools
- Custom parsers
- Validation checks
- Schema evolution tracking
- Cross-system mapping
- Audit presentation
- Case: quarterly submission
Module 5. Control design in data pipelines
Embed compliance controls directly into pipeline logic, validation, transformation checks, access logging, so governance is operational, not just documented.
12 chapters in this module
- Types of data controls
- Input validation design
- Schema conformance
- Null handling rules
- Transformation audits
- Hash-based checks
- Change detection
- Control logging
- Alerting strategy
- Testing control logic
- Review frequency
- Case: suspicious drift
Module 6. Version control for governed pipelines
Treat pipeline code and configuration as regulated artefacts, versioned, peer-reviewed, and tied to control documentation for audit completeness.
12 chapters in this module
- Code as compliance artefact
- Branching strategy
- PR review standards
- Change rationale logging
- Merge approvals
- Tagging for audit
- Reproducibility
- Environment parity
- Drift detection
- Backup validation
- Incident rollback
- Case: failed deployment
Module 7. Metadata management at scale
Design metadata systems that serve both engineers and auditors, structured, queryable, and aligned with governance frameworks.
12 chapters in this module
- Metadata taxonomy
- Business vs technical terms
- Ownership mapping
- Stewardship workflow
- Automated extraction
- Schema registry
- Data dictionary
- Searchability
- Cross-reference
- Update cadence
- Validation rules
- Case: new product launch
Module 8. Data quality monitoring as governance
Shift from reactive alerts to proactive data health, define thresholds, automate checks, and document exceptions as part of governance posture.
12 chapters in this module
- Data quality dimensions
- Completeness checks
- Timeliness alerts
- Accuracy validation
- Consistency rules
- Freshness thresholds
- Anomaly detection
- Exception logging
- Trend analysis
- Root cause tracking
- Reporting cadence
- Case: client load
Module 9. Audit readiness through engineering
Prepare for compliance audits not by last-minute prep but by baking readiness into the pipeline lifecycle, documentation, logging, and evidence by design.
12 chapters in this module
- Audit scope planning
- Evidence types needed
- Log retention
- Access logs
- Change logs
- Control reports
- Lineage exports
- Data snapshots
- Retention policies
- Chain of custody
- Review walkthrough
- Case: surprise audit
Module 10. Cross-system governance patterns
Apply consistent governance across batch, streaming, and cloud-native pipelines, even when systems differ, the standards don’t.
12 chapters in this module
- Streaming vs batch
- Kafka governance
- Lambda anti-patterns
- Cloud metadata
- Hybrid pipelines
- Legacy integration
- Schema evolution
- Cross-platform lineage
- Unified logging
- Control parity
- Monitoring gaps
- Case: cloud migration
Module 11. Stakeholder communication for engineers
Bridge the gap between technical work and compliance expectations, translate pipeline design into governance language for auditors and risk teams.
12 chapters in this module
- Auditor mindset
- Translating code to control
- Evidence selection
- Documentation tone
- Meeting prep
- Q&A preparation
- Escalation paths
- Policy interpretation
- Clarifying scope
- Feedback loops
- Trust signals
- Case: joint review
Module 12. Sustaining governance over time
Turn one-off compliance into lasting engineering discipline, build feedback loops, continuous improvement, and ownership models that outlive projects.
12 chapters in this module
- Governance debt
- Refactoring triggers
- Tech debt tracking
- Improvement cycles
- Team onboarding
- Documentation upkeep
- Control review
- Lessons learned
- Maturity models
- Leadership reporting
- External benchmarks
- Case: year-over-year
How this maps to your situation
- When designing a new pipeline
- During audit preparation
- After a control failure
- Before a system migration
Before vs. after
Before
Pipeline governance feels like a checklist to satisfy auditors.
After
You lead governance decisions with confidence, knowing how each component aligns with standards.
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: 90 minutes per module, designed to be completed in two weeks with real-world application.
How this compares to the alternatives
Unlike generic data governance courses, this is tailored to financial services engineers who must balance speed, compliance, and technical excellence, giving you the specific frameworks and artefacts that matter in your world.
Frequently asked
Is this course technical or compliance-focused?
It's both, written for engineers who own governed pipelines and must satisfy compliance requirements. Every concept ties to code, configuration, or system design.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in audits?
Yes, by teaching you how to build evidence into your pipeline design, so audit readiness is baked in, not bolted on.
$199 one-time. 90 minutes per module, designed to be completed in two weeks with real-world application..
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