A tailored course, built for your situation
Mastering PCI DSS for Data Engineering & Analytics Leaders
Build compliant data systems with confidence and expand your governance remit
$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.
Struggling to align data engineering with compliance demands?
The situation this course is for
Many data leaders face pressure to deliver fast pipelines while meeting strict regulatory standards. Without clear implementation blueprints, they fall back on reactive fixes or over-rely on external teams, limiting their strategic influence.
Who this is for
Senior data professionals leading engineering or analytics teams who are expected to design systems that meet compliance standards but lack structured guidance on how to embed controls natively.
Who this is not for
This course is not for junior data analysts, auditors, or security generalists without hands-on responsibility for data pipeline architecture.
What you walk away with
- Define enforceable data handling rules within PCI DSS scope
- Lead internal discussions on what data can and cannot be retained
- Implement segmentation controls specific to analytics environments
- Document compliance-ready data flows that withstand review
- Shape vendor data practices through technical specifications
The 12 modules (with all 144 chapters)
Module 1. Understanding PCI DSS in Data-Centric Architectures
Ground PCI DSS requirements in real data workflows. Learn how payment data moves through modern pipelines and where compliance obligations attach.
12 chapters in this module
- How PCI DSS applies to analytics systems
- Mapping cardholder data in ETL flows
- Boundary definition for compliance scope
- Tokenization impact on downstream analysis
- Encryption requirements for data at rest
- Role of metadata in compliance tracking
- Common misconceptions in data teams
- Integrating DSS with cloud storage
- Audit expectations for query logs
- Retention policies for transient data
- Data lineage and control validation
- First steps in scoping your environment
Module 2. Defining Data Scope Under Requirement 3
Control what data enters your systems by enforcing strict ingestion rules. Focus on proactive design rather than reactive cleanup.
12 chapters in this module
- Identifying cardholder data in raw feeds
- Designing validation at intake points
- Blocking unauthorized fields pre-ingest
- Schema rules for compliant pipelines
- Automated detection of PAN patterns
- Handling test data securely
- Masking strategies for development
- Logging without storing sensitive data
- Validating third-party data sources
- Documenting data exclusion logic
- Enforcing field-level policies
- Reviewing ingestion for compliance
Module 3. Secure Storage and Encryption Practices
Implement storage controls that satisfy Requirement 3 and 4 using native data platform capabilities.
12 chapters in this module
- Encryption standards for databases
- Key management responsibilities
- Using platform-native encryption
- Securing backups in analytics systems
- Handling snapshots and exports
- File format choices for security
- Access control for encrypted stores
- Logging decryption events
- Rotation policies for data keys
- Integrating HSMs with data layers
- Validation of encryption in place
- Audit trail completeness
Module 4. Access Control Design for Analysts
Meet Requirement 7 by building role-based access that supports real analytics work without overexposure.
12 chapters in this module
- Defining least privilege for queries
- Group-based permissions model
- Dynamic masking for sensitive fields
- Just-in-time access workflows
- Authentication integration
- Session timeout in BI tools
- Monitoring analyst behavior
- Managing service accounts securely
- Privileged user tracking
- De-provisioning automation
- Access reviews for data roles
- Policy enforcement at query layer
Module 5. Logging and Monitoring Data Activity
Satisfy Requirement 10 with logs that capture meaningful data events without creating noise.
12 chapters in this module
- Critical events to log in pipelines
- Query logging at scale
- Tracking data exports and downloads
- Setting thresholds for alerts
- Log retention in data platforms
- Centralizing logs across systems
- Correlating user identity to queries
- Detecting anomalous access patterns
- Automated reporting on access
- Linking logs to compliance evidence
- Audit preparation from logs
- Maintaining log integrity
Module 6. Vulnerability Management in Data Systems
Address Requirement 6 with patching and configuration practices tailored to data infrastructure.
12 chapters in this module
- Tracking CVEs in data platforms
- Prioritizing patches for analytics systems
- Secure configuration baselines
- Managing open-source components
- Database engine security settings
- Hardening query engines
- Crawling tools and exposure risks
- Version control for data jobs
- Dependency tracking for pipelines
- Automated scanning integration
- Reporting status to security teams
- Documentation for audit
Module 7. Change Control for Data Pipelines
Implement Requirement 6.4 with workflows that balance agility and control in fast-moving environments.
12 chapters in this module
- Defining change types in data systems
- Approval workflows for schema changes
- Testing changes in pre-production
- Rollback procedures for pipelines
- Versioning for data models
- Automated deployment gates
- Managing third-party updates
- Emergency change process
- Change documentation standards
- Linking changes to compliance
- Peer review integration
- Audit trail for deployments
Module 8. Segmentation and Network Controls
Apply Requirement 1 to data environments with practical segmentation strategies.
12 chapters in this module
- Defining network zones for data systems
- Firewall rules for ETL jobs
- Isolating analytics environments
- VPC design for compliance
- Private connectivity to data stores
- DNS and routing considerations
- Monitoring cross-zone traffic
- Using proxies for access
- Zero-trust for data platforms
- Documenting network architecture
- Reviewing segmentation annually
- Testing control effectiveness
Module 9. Third-Party Data Vendor Oversight
Extend your control to vendors who handle payment data on your behalf.
12 chapters in this module
- Assessing vendor PCI compliance
- Contractual obligations for vendors
- Reviewing SOC 2 reports
- Auditing vendor data practices
- Data processing agreements
- Monitoring vendor access
- Incident response coordination
- Termination clauses for non-compliance
- Vendor risk scoring
- Ongoing compliance checks
- Engaging legal on contracts
- Maintaining oversight logs
Module 10. Building the Compliance Evidence Package
Create a defensible, repeatable package that proves compliance without rework.
12 chapters in this module
- Mapping controls to PCI requirements
- Gathering technical evidence
- Documenting policies and procedures
- Preparing narrative descriptions
- Assembling the final package
- Internal review process
- Versioning compliance artefacts
- Storing documentation securely
- Updating annually
- Handling auditor requests
- Tracking evidence completeness
- Using templates for efficiency
Module 11. Designing the Data Security Policy
Lead the creation of a data-specific security policy that satisfies PCI DSS Requirement 12.
12 chapters in this module
- Defining data ownership roles
- Setting data classification rules
- Establishing handling procedures
- Documenting retention schedules
- Access request workflows
- Training requirements for teams
- Policy review cycle
- Enforcement mechanisms
- Incident reporting process
- Linking policy to technical controls
- Communicating policy updates
- Signed acknowledgment process
Module 12. From Compliance to Strategic Influence
Turn technical mastery into broader remit and decision authority.
12 chapters in this module
- Positioning data compliance as enabler
- Gaining input on system investments
- Shaping vendor selection criteria
- Leading cross-team initiatives
- Presenting to leadership
- Documenting decision rationale
- Building internal credibility
- Mentoring junior staff
- Creating reusable templates
- Owning the data governance roadmap
- Expanding scope to other regulations
- Establishing long-term authority
How this maps to your situation
- When you're designing a new data pipeline
- Before vendor data onboarding
- During annual compliance review cycle
- After a system change that affects data flow
Before vs. after
Before
Waiting for security or compliance teams to define data handling rules, resulting in delays and rework.
After
Proactively defining and enforcing data controls, becoming the go-to authority on compliant pipeline design.
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 6-8 hours of focused learning, designed to be completed in short sprints over two weeks.
If nothing changes
Continuing to rely on ad-hoc compliance approaches risks repeated audit findings, loss of trust, and missed opportunities to expand your strategic role.
How this compares to the alternatives
Unlike generic PCI DSS overviews, this course is built specifically for data engineering and analytics professionals who need to implement controls in real systems , not just understand them.
Frequently asked
Is this course relevant if I don't handle payment data directly?
Yes. If your systems process or store data that could be linked to payment activity, this course helps you define boundaries and controls to limit exposure and expand your governance authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass a PCI DSS audit?
The course gives you the tools to build systems that satisfy PCI DSS requirements, making audits smoother and less disruptive to your team.
$199 one-time. Approximately 6-8 hours of focused learning, designed to be completed in short sprints over two weeks..
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