A tailored course, built for your situation
Deeper command of AWS data architecture frameworks
Master the underlying patterns shaping modern AWS big data systems
$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.
Who this is for
Senior AWS Bigdata Architect working in enterprise-scale delivery environments, focused on technical credibility and design authority
Who this is not for
Engineers looking for introductory AWS certification prep or general cloud familiarity
What you walk away with
- Name and apply core architectural patterns behind AWS data platforms with precision
- Justify design decisions using standards bodies’ frameworks and AWS Well-Architected pillars
- Anticipate review-board questions and embed answers into initial designs
- Differentiate between one-off solutions and scalable, repeatable architectures
- Navigate trade-offs between performance, cost, security, and maintainability with structured reasoning
The 12 modules (with all 144 chapters)
Module 1. Foundations of AWS data architecture mastery
Establish the core mindset and decision criteria that separate tactical solutions from enduring architectures.
12 chapters in this module
- What mastery means in data architecture
- The five dimensions of architectural weight
- Standards vs. patterns: when to apply each
- AWS Well-Architected: beyond the checklist
- Designing for reviewability
- The role of precedent in high-trust environments
- How senior architects think differently
- Defining 'done' for architecture work
- Architectural debt: recognition and prevention
- The lifecycle of an architectural decision
- Mapping stakeholder influence to design choices
- Creating artefacts that stand without explanation
Module 2. Pattern recognition across AWS data workloads
Identify and classify the most frequently recurring structures in enterprise data pipelines and warehouses.
12 chapters in this module
- Batch ingestion: canonical structure
- Streaming pipelines: core components
- Lambda architecture: where it still fits
- Kappa architecture: modern simplification
- Data lakehouse: boundaries and trade-offs
- Change data capture: implementation forms
- Event-driven data flows: design signature
- Federated queries: cross-account patterns
- Time-series data: specialized handling
- Semi-structured data: schema evolution
- Metadata-driven pipelines
- Orchestration: Airflow vs Step Functions
Module 3. AWS service semantics and architectural fit
Go beyond feature lists to understand how services shape architectural outcomes.
12 chapters in this module
- S3: more than storage
- Glue: metadata layer responsibilities
- Redshift: cluster vs serverless trade-offs
- Athena: positioning in query ecosystems
- Kinesis: throughput and shard logic
- DynamoDB: when to choose for analytics
- EMR: managed vs self-hosted context
- Lake Formation: governance integration
- MSK: Kafka on AWS constraints
- Snowflake on AWS: boundary definition
- EventBridge: event fabric role
- Step Functions: state management value
Module 4. Architectural decision records that stick
Build documentation that anticipates scrutiny and supports long-term consistency.
12 chapters in this module
- ADR anatomy: essential components
- Stakeholder alignment mapping
- Recording alternatives considered
- Cost-benefit framing for architects
- Security implications section
- Performance assumptions declaration
- Future-proofing language
- Versioning ADRs over time
- Linking ADRs to implementation
- ADR review cadence
- Architectural assumptions inventory
- When to retire an ADR
Module 5. Design authority in cross-functional settings
Exercise influence without direct authority through artefact quality and clarity.
12 chapters in this module
- Design reviews: controlling the frame
- Naming conventions as governance
- Diagrams that communicate intent
- Pre-empting common objections
- Handling 'why not X?' questions
- Aligning data and application architects
- Working with cost-optimization teams
- Engaging security reviewers early
- Facilitating consensus on trade-offs
- Presenting options without indecision
- Confidence markers in verbal delivery
- Using precedent to reduce debate
Module 6. Cost-aware architecture design
Embed cost discipline into architectural choices without sacrificing integrity.
12 chapters in this module
- Unit cost modelling per workload
- Storage tiering strategies
- Compute elasticity design
- Spot instance integration
- Reserved capacity planning
- Data transfer cost hotspots
- Query optimization at scale
- Auto-scaling logic design
- Monitoring cost as a system metric
- Tagging for accountability
- Cost impact statements in ADRs
- Right-sizing benchmarks
Module 7. Security and compliance by design
Integrate guardrails into architecture so they become invisible to operations.
12 chapters in this module
- Zero trust data access patterns
- Encryption key strategy
- Lake Formation zone model
- Audit trail engineering
- PII handling at ingestion
- Role-based access at scale
- Cross-account data sharing
- VPC design for data isolation
- Logging as architectural component
- Automated compliance checks
- Data retention automation
- Immutable logs implementation
Module 8. Performance architecture principles
Design for predictable, measurable, and sustainable performance under load.
12 chapters in this module
- Latency budget allocation
- Throughput capacity planning
- Backpressure management
- Caching strategy layers
- Indexing for query patterns
- Partitioning key selection
- Data skew mitigation
- Query plan analysis
- Load testing design
- Degradation mode planning
- Monitoring performance drift
- Performance SLAs definition
Module 9. Evolutionary architecture practices
Plan for change as a first-class requirement, not an afterthought.
12 chapters in this module
- Modularity boundaries
- Versioning data formats
- Schema evolution standards
- Backward compatibility rules
- Deprecation pathways
- Feature flagging data pipelines
- Blue-green data migrations
- Canary rollouts for ETL
- Rollback strategy design
- Architecture refactoring triggers
- Technical debt tracking
- Architecture maturity models
Module 10. Architecture validation and critique
Develop the ability to review and improve designs with structured, constructive feedback.
12 chapters in this module
- Checklist vs principle-based review
- Identifying hidden assumptions
- Spotting scalability limits
- Evaluating operational burden
- Testing edge cases in design
- Reviewing cost efficiency
- Assessing security coverage
- Feedback delivery techniques
- Peer review facilitation
- Self-critique frameworks
- Learning from incident post-mortems
- Benchmarking against industry leaders
Module 11. Standards alignment and adaptation
Leverage external frameworks to strengthen internal credibility and consistency.
12 chapters in this module
- TOGAF data architecture components
- DAMA-DMBOK integration points
- ISO 8000 implications
- NIST data classification
- AWS Well-Architected deep dive
- Aligning to enterprise architecture
- Adapting standards to AWS context
- Custom framework creation
- Standards as negotiation tools
- Documenting deviations
- Maintaining standards library
- Training teams on adopted standards
Module 12. Mastery in practice: real-world synthesis
Apply the full framework to complex, ambiguous scenarios typical of senior roles.
12 chapters in this module
- Case study: global data mesh
- Case study: real-time fraud detection
- Case study: regulatory reporting platform
- Case study: multi-tenant SaaS analytics
- Case study: legacy data migration
- Case study: edge-to-cloud pipeline
- Balancing innovation and compliance
- Handling conflicting stakeholder demands
- Architectural decision under time pressure
- Designing without perfect information
- Post-implementation review process
- Building a personal architecture playbook
How this maps to your situation
- When leading a greenfield data platform design
- During architecture review board preparation
- While responding to production incident follow-up
- Before engaging with enterprise architecture team
Before vs. after
Before
Design decisions are reactive, influenced by immediate constraints and peer pressure.
After
Architectural choices are proactive, grounded in principles, and consistently validated.
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 3-4 hours per module, designed for integration into real work cycles.
If nothing changes
Without deepening command of architectural frameworks, even strong designs risk being overridden due to lack of structured justification or perceived inconsistency.
How this compares to the alternatives
Unlike generic AWS training, this course focuses on architectural reasoning, not service features. Compared to certification prep, it builds decision-making fluency, not test-taking ability.
Frequently asked
Is this course focused on AWS certification?
No. This course builds architectural mastery, not exam readiness. It’s for practitioners who already know AWS services and want to deepen their design authority.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I receive templates I can use immediately?
Yes. Every module includes downloadable templates and real-world examples you can adapt to your current projects.
$199 one-time. Approximately 3-4 hours per module, designed for integration into real work 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