A tailored course, built for your situation
Mastering ISO 27001 for Senior Data Engineers in Data Science
Build defensible data architecture with embedded compliance
$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 being sidelined in security discussions despite doing the foundational work
The situation this course is for
Data engineers often build systems that become audit targets, yet lack formal influence over compliance framing. This creates friction during reviews and diminishes recognition for secure-by-design work.
Who this is for
Senior Data Engineer in a global systems integrator, working at the intersection of data pipelines, cloud infrastructure, and client-facing deliverables
Who this is not for
Entry-level engineers, non-technical compliance staff, or consultants without hands-on data architecture experience
What you walk away with
- Lead peer discussions on control alignment during data system design
- Present evidence-ready documentation that satisfies internal and external auditors
- Influence vendor selection by evaluating security posture against ISO 27001 criteria
- Position yourself as the internal reference for data security control mapping
- Produce reusable templates for SoA and risk treatment plans specific to data engineering
The 12 modules (with all 144 chapters)
Module 1. Understanding ISO 27001 in the Context of Data Engineering
Learn how ISO 27001 applies specifically to data systems, not just general IT infrastructure. This module maps controls to common data workloads like ETL, warehousing, and real-time pipelines.
12 chapters in this module
- Differentiating ISO 27001 from data privacy frameworks like GDPR
- Identifying data assets under scope for ISMS
- Linking data classification to control requirements
- Recognizing when data flows trigger new control obligations
- Using data lineage to support asset inventories
- Integrating data governance practices into ISMS documentation
- Mapping data roles to information security responsibilities
- Understanding auditor expectations for data-centric environments
- Documenting data system boundaries for certification
- Aligning cloud data platforms with ISO 27001 hosting models
- Handling multi-tenant data isolation in shared environments
- Incorporating data quality into security monitoring
Module 2. Data Risk Assessment According to ISO 27001 Clause 6.1.2
Conduct risk assessments tailored to data engineering projects, focusing on confidentiality, integrity, and availability of datasets.
12 chapters in this module
- Defining data valuation criteria for risk scoring
- Building asset inventories for structured and unstructured data
- Threat modeling for data pipeline stages
- Assessing impact of data breaches by classification level
- Evaluating likelihood using operational telemetry
- Integrating data drift into risk scenarios
- Scoping third-party risks in data supply chains
- Documenting risk assessment methodology for audit
- Quantifying data risk exposure across environments
- Using heatmaps to prioritize data controls
- Linking data sensitivity to retention and access policies
- Updating risk registers during pipeline evolution
Module 3. Designing Secure Data Architectures
Apply ISO 27001 principles to system design decisions, ensuring security is embedded from inception.
12 chapters in this module
- Embedding control objectives into data architecture blueprints
- Securing data ingestion from external sources
- Isolating sensitive processing in pipeline stages
- Enforcing encryption in transit and at rest
- Designing for auditability and traceability
- Implementing least privilege for data access
- Validating secure configurations in CI/CD
- Hardening containerized data processing environments
- Architecting for multi-cloud compliance alignment
- Balancing performance and security in data transformations
- Incorporating backup and recovery into design
- Documenting design rationale for compliance reviewers
Module 4. Access Control Implementation for Data Systems
Enforce granular access control in data platforms in line with ISO 27001 A.9 requirements.
12 chapters in this module
- Mapping data roles to IAM policies
- Implementing attribute-based access control
- Managing service account access securely
- Auditing access changes in data platforms
- Enforcing separation of duties in ETL processes
- Integrating SSO for data tools and notebooks
- Controlling access to staging and raw zones
- Securing access to metadata catalogs
- Handling emergency access in data systems
- Managing access revocation upon role change
- Logging access decisions for compliance evidence
- Aligning access reviews with HR processes
Module 5. Secure Development Practices in Data Engineering
Apply secure coding and pipeline practices to prevent vulnerabilities in data systems.
12 chapters in this module
- Integrating security checks into CI/CD pipelines
- Managing secrets in data engineering workflows
- Static code analysis for SQL and Python scripts
- Preventing data leakage through logging
- Validating input data for integrity
- Enforcing code review policies for data jobs
- Using infrastructure-as-code securely
- Auditing pipeline changes for compliance
- Securing third-party libraries in data jobs
- Hardening notebook environments
- Documenting secure development standards
- Training data teams on secure practices
Module 6. Documentation and Evidence for Certification
Generate audit-ready documentation specific to data systems under ISO 27001.
12 chapters in this module
- Writing policies tailored to data engineering teams
- Documenting control implementation for data systems
- Producing SoA entries for data-specific controls
- Maintaining records of risk treatment decisions
- Capturing design and architecture decisions
- Generating evidence for internal audits
- Preparing artifact packages for external assessors
- Using version control for compliance documents
- Aligning documentation with client requirements
- Automating evidence collection from pipelines
- Redacting sensitive details in shared evidence
- Structuring documentation for cross-functional review
Module 7. Vendor and Third-Party Risk in Data Ecosystems
Evaluate and manage security risks from data vendors and external partners.
12 chapters in this module
- Assessing cloud provider compliance certifications
- Reviewing third-party data pipeline tools
- Managing risks from open-source data tools
- Conducting vendor due diligence for data projects
- Negotiating contractual security clauses
- Monitoring vendor compliance status
- Managing data sharing agreements
- Auditing data transfer mechanisms
- Ensuring data deletion upon contract end
- Tracking sub-processors in data supply chains
- Responding to vendor security incidents
- Documenting vendor oversight activities
Module 8. Monitoring and Incident Management for Data Systems
Implement monitoring and response procedures aligned with ISO 27001 A.16.
12 chapters in this module
- Detecting unauthorized access to data stores
- Monitoring data pipeline execution for anomalies
- Establishing logging standards for data jobs
- Correlating events across data platforms
- Defining incident severity levels for data events
- Creating runbooks for data breach response
- Integrating with central SOC teams
- Conducting incident post-mortems
- Testing incident response plans
- Reporting security events to management
- Preserving forensic data for investigations
- Updating controls based on incident learnings
Module 9. Internal Audit and Continuous Improvement
Prepare for and lead internal compliance audits of data systems.
12 chapters in this module
- Scheduling audit cycles for data projects
- Conducting self-assessments for ISO 27001 alignment
- Preparing teams for audit interviews
- Responding to audit findings professionally
- Tracking corrective actions to closure
- Integrating audit feedback into workflows
- Measuring control effectiveness over time
- Using KPIs to demonstrate compliance maturity
- Benchmarking against industry peers
- Driving process improvements from audit data
- Documenting lessons learned across teams
- Sharing best practices across projects
Module 10. Change Management and Control Alignment
Ensure security controls evolve with data system changes.
12 chapters in this module
- Integrating security review into change requests
- Assessing impact of pipeline modifications
- Updating risk assessments after major changes
- Maintaining configuration baselines
- Documenting change rationale for auditors
- Managing emergency changes securely
- Communicating changes to compliance teams
- Reviewing changes against control objectives
- Validating post-change control effectiveness
- Archiving deprecated data systems
- Updating data lineage after restructuring
- Aligning change management with client SLAs
Module 11. Training and Awareness for Data Teams
Lead security awareness efforts within engineering groups.
12 chapters in this module
- Developing role-specific training modules
- Onboarding engineers to compliance requirements
- Conducting security refreshers for data teams
- Measuring training effectiveness
- Communicating policy updates effectively
- Creating internal knowledge bases
- Promoting secure practices in team rituals
- Recognizing secure behavior publicly
- Integrating compliance into team goals
- Mentoring junior engineers on security
- Sharing lessons from incidents and audits
- Building security champions within teams
Module 12. Sustaining Compliance in Evolving Data Environments
Maintain ISO 27001 alignment as data platforms and requirements change.
12 chapters in this module
- Reviewing compliance posture quarterly
- Adapting controls to new data technologies
- Managing compliance across hybrid environments
- Aligning with updated regulatory expectations
- Engaging leadership on compliance priorities
- Scaling practices across global teams
- Integrating lessons from industry incidents
- Participating in standards development
- Contributing to internal compliance forums
- Mentoring future compliance leads
- Balancing agility and control in fast-paced delivery
- Documenting long-term compliance strategy
How this maps to your situation
- During initial certification preparation
- Before annual internal audit cycle
- When onboarding new data platforms
- After organizational restructuring affecting data teams
Before vs. after
Before
You're building critical data systems, but compliance decisions happen in parallel, without your direct input.
After
You're consulted early in security and compliance planning, shaping architecture and policy from within.
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 90 minutes per module, designed to be completed over four weeks with practical application between sessions.
If nothing changes
Continuing to deliver data systems without influencing compliance frameworks may result in rework, diminished visibility in strategic conversations, and missed opportunities for leadership recognition.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on data engineering contexts, giving you specific, actionable control mappings and peer-proven documentation strategies used in firms like yours.
Frequently asked
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is prior ISO 27001 experience required?
No. The course starts with foundational concepts and builds to advanced application in data environments.
Can I use this for team training?
Yes, the templates and playbook are designed for team adoption and cross-project reuse.
$199 one-time. Approximately 90 minutes per module, designed to be completed over four weeks with practical application between sessions..
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