A tailored course, built for your situation
Mastering DORA for Data Warehouse Architects in Regulated Financial Services
Build regulator-ready evidence flows that stand up under review, without rework.
$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.
Avoid last-minute evidence reshaping when DORA audits begin.
The situation this course is for
Most data warehouse teams retrofit compliance onto existing designs, creating delays, friction with legal, and rework. The best are baking it in from schema level.
Who this is for
Senior data professionals in financial services who bridge technical delivery and regulatory accountability, especially under DORA.
Who this is not for
Entry-level analysts, non-financial services data roles, or those not involved in audit-facing system design.
What you walk away with
- Embed DORA evidence requirements directly into data modeling workflows
- Produce lineage artifacts that satisfy auditor follow-ups without revision
- Anticipate compliance handoffs before they land on your desk
- Reduce rework cycles between engineering and regulatory teams by 70%
- Become the first internal team to deliver a DORA-compliant warehouse module
The 12 modules (with all 144 chapters)
Module 1. Understanding DORA’s Scope for Data Infrastructure
Clarify which data systems fall under DORA’s oversight and how classification impacts design authority. Focus on identifying critical data pipelines and assigning evidence ownership.
12 chapters in this module
- Which data warehouse components are in scope under DORA Article 5
- Mapping data criticality levels to infrastructure segmentation
- How DORA distinguishes between important and critical functions
- The role of data latency in regulatory classification
- Reviewing EBA’s latest guidance on data processing timelines
- Identifying dependencies tied to third-party data providers
- Classifying data storage tiers under DORA reporting rules
- Documenting data inflow sources for audit readiness
- Linking data processing activities to operational resilience
- Assessing breach impact thresholds for data architecture
- How data redundancy requirements affect warehouse design
- Establishing threshold rules for data incident escalation
Module 2. Data Lineage Requirements Under DORA
Build automated lineage tracking that satisfies both internal audit and external reviewers. Move from manual diagrams to embedded metadata tracing.
12 chapters in this module
- Defining end-to-end lineage for critical data flows
- Using metadata to auto-generate DORA-compliant lineage maps
- Integrating lineage capture into ETL logging systems
- Documenting ownership at each transformation stage
- Linking data fields to specific regulatory articles
- Creating immutable lineage records for audit trails
- Versioning lineage artifacts alongside schema changes
- Validating lineage completeness with test scenarios
- Handling obfuscation in lineage for PII-heavy pipelines
- Aligning lineage scope with regulator expectations
- Reducing manual lineage updates through tooling
- Designing lineage outputs for non-technical reviewers
Module 3. Evidence Packaging for Regulatory Submissions
Structure evidence dossiers that pass initial review without follow-up requests. Learn what auditors actually look for in warehouse-related submissions.
12 chapters in this module
- Standardizing evidence format across data teams
- Which artifacts to include in a DORA evidence package
- How to structure narrative descriptions for regulators
- Including test results in submission packages
- Version control practices for evidence materials
- Redacting sensitive data while preserving clarity
- Linking evidence to control mapping documents
- Creating index files for multi-system submissions
- Using timestamps to prove evidence freshness
- Preparing evidence for remote audit cycles
- Common gaps in first-submission evidence sets
- How to pre-validate evidence before submission
Module 4. Designing Resilient Data Architecture Under DORA
Architect data systems with built-in redundancy, failover, and recovery aligned with DORA's operational resilience goals.
12 chapters in this module
- Defining uptime requirements for critical data services
- Designing multi-region data replication strategies
- Choosing failover triggers based on data SLAs
- Testing failover procedures without production impact
- Measuring data recovery time objectives realistically
- Documenting recovery point objectives for each layer
- Integrating monitoring alerts into incident response
- Using chaos engineering principles on data pipelines
- Balancing cost and resilience in backup design
- Aligning DR plans with business continuity timelines
- Validating recovery with regulator-style checks
- Updating resilience documentation after each test
Module 5. Integrating DORA Controls Into Development Lifecycle
Shift compliance left by embedding control checks into CI/CD pipelines and schema migration workflows.
12 chapters in this module
- Mapping DORA controls to development milestones
- Automating control validation during pull requests
- Embedding compliance checks in data modeling tools
- Using policy-as-code for schema governance
- Flagging non-compliant changes before deployment
- Integrating DORA checks into automated testing
- Creating compliance gates in deployment pipelines
- Training developers on DORA-related failure modes
- Documenting control implementation in code comments
- Auditing control adherence through logs
- Reconciling control checks across environments
- Updating control logic after regulation updates
Module 6. Vendor Risk Management for External Data Providers
Evaluate and monitor third-party data services under DORA’s outsourcing rules, with focus on audit rights and exit readiness.
12 chapters in this module
- Classifying data vendors under DORA Article 25
- Assessing criticality of external data dependencies
- Negotiating audit rights for cloud-based providers
- Defining exit triggers for underperforming vendors
- Documenting data handover processes in contracts
- Validating vendor compliance with DORA timelines
- Monitoring vendor control effectiveness continuously
- Managing subcontractor oversight in data chains
- Conducting due diligence on data sourcing origins
- Creating contingency plans for vendor failure
- Tracking SLA breaches as compliance events
- Reporting vendor incidents under DORA rules
Module 7. Incident Reporting and Escalation Procedures
Handle data-related incidents with structured reporting that meets DORA timelines and content requirements.
12 chapters in this module
- Defining reportable data incidents under DORA
- Setting internal detection thresholds for incidents
- Creating incident triage workflows for data teams
- Documenting root causes with technical specificity
- Meeting 24-hour preliminary reporting deadlines
- Preparing detailed follow-up submissions
- Coordinating with legal and compliance teams
- Using incident data to improve system resilience
- Simulating incident reporting under time pressure
- Archiving incident records for audit access
- Updating response plans after real incidents
- Training staff on escalation communication tone
Module 8. Testing and Validation Under DORA
Design test scenarios that prove operational resilience and satisfy regulator expectations without over-engineering.
12 chapters in this module
- Choosing test scenarios based on data criticality
- Designing stress tests for data processing pipelines
- Running failure simulations on data replication
- Measuring test effectiveness with pass/fail criteria
- Involving external parties in test planning
- Conducting tests without disrupting live operations
- Documenting test plans for auditor review
- Capturing evidence during test execution
- Reporting test results with technical clarity
- Updating test scope after system changes
- Scheduling recurring resilience tests
- Aligning test depth with business impact levels
Module 9. Documentation Standards for Audit Readiness
Create living documents that withstand scrutiny and evolve with system changes.
12 chapters in this module
- Choosing formats for long-term document retention
- Versioning documentation alongside system updates
- Linking documentation to control frameworks
- Using diagrams to explain complex data flows
- Maintaining document accessibility across teams
- Ensuring document integrity with digital signatures
- Updating docs after architectural changes
- Creating templates for recurring documentation
- Archiving obsolete versions securely
- Training new staff on documentation standards
- Auditing documentation completeness
- Simplifying technical content for reviewers
Module 10. Cross-Functional Coordination for DORA Compliance
Lead alignment between data, compliance, legal, and operations teams to avoid siloed efforts.
12 chapters in this module
- Establishing regular sync points with compliance
- Clarifying roles in data-related DORA tasks
- Creating shared definitions across departments
- Managing handoffs between legal and engineering
- Resolving conflicting priorities in timeline planning
- Building trust through consistent deliverables
- Using shared tools for cross-team visibility
- Facilitating joint problem-solving sessions
- Aligning terminology across functions
- Escalating blockers with context-rich updates
- Measuring cross-functional effectiveness
- Improving coordination after audit feedback
Module 11. Governance and Oversight Mechanisms
Structure internal governance that demonstrates accountability and control to regulators.
12 chapters in this module
- Defining governance roles in data projects
- Scheduling regular compliance check-ins
- Tracking action items from oversight meetings
- Reporting progress to internal committees
- Documenting decision rationales for audits
- Managing changes to governance structure
- Ensuring quorum for critical decisions
- Integrating feedback into governance cycles
- Maintaining governance records over time
- Adapting oversight to system complexity
- Reviewing governance effectiveness annually
- Training leaders on oversight expectations
Module 12. Continuous Improvement and Adaptation
Refine DORA compliance practices based on audits, incidents, and regulation updates.
12 chapters in this module
- Collecting lessons learned from audits
- Updating practices based on regulator feedback
- Tracking regulation changes affecting data systems
- Incorporating new requirements into workflows
- Measuring compliance maturity over time
- Benchmarking against peer institutions
- Investing in automation for sustainability
- Prioritizing improvements based on risk
- Sharing best practices across teams
- Reducing manual effort through tooling
- Validating improvements with testing
- Celebrating milestones in compliance journey
How this maps to your situation
- When DORA evidence requests arrive
- During design phase of new data modules
- Before internal audit cycles begin
- After a regulation update is published
Before vs. after
Before
Reworking data models after compliance teams flag gaps in DORA evidence.
After
Delivering warehouse designs with embedded compliance, ready for audit.
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 to fit around delivery cycles.
If nothing changes
Without structured DORA integration, data teams face recurring rework, delayed go-lives, and weakened credibility when regulators question system resilience.
How this compares to the alternatives
Public courses cover DORA at a policy level. This is tailored to data warehouse architects, what to build, how to document, and what evidence matters.
Frequently asked
Is this course technical or compliance-focused?
It’s for technical practitioners who own compliance-facing outputs, especially data warehouse architects whose designs feed regulatory submissions.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass an audit?
Yes, by teaching you how to design systems that generate audit-ready evidence natively.
$199 one-time. Approximately 3 hours per module, designed to fit around delivery cycles..
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