A focused course, tailored for you
The Snowflake on AWS Reference Architecture for Enterprise
An AWS-anchored Snowflake reference architecture for enterprise customer engagements in 2026: PrivateLink topology, customer-managed keys, S3 Iceberg interoperability, IAM federation, observability stack.
Customer enterprise architects ask the Snowflake-on-AWS conversation specifically: how does the deployment respect our AWS landing zone, our customer-managed keys, our PrivateLink topology, our IAM federation, our observability stack. The course delivers the integrated answer.
$199 one-time
Tailored to your situation. Access within 24 hours. 30-day money-back.
Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.
Why this course
Customer enterprise architects who have spent three years building an AWS landing zone (Control Tower or custom), customer-managed key infrastructure (KMS multi-region keys), PrivateLink topology, IAM federation with the customer identity provider, and observability stack (CloudWatch, OpenSearch, AWS X-Ray, sometimes Datadog) ask the Snowflake-on-AWS architect to respect that investment. The default Snowflake reference architecture lives at a level of abstraction that does not engage with the AWS specifics. The customer's enterprise architect asks the AWS-specific questions and the conversation stalls until a follow-up.
The course works through the integrated AWS-anchored answer. The PrivateLink topology that respects the customer's existing landing zone. The customer-managed key pattern using AWS KMS multi-region keys. The S3 Iceberg interoperability pattern that integrates with the customer's existing data-lake. The IAM federation pattern that integrates with the customer's existing identity provider. The observability stack integration. The cost model in AWS terms. The shared-responsibility framing that the customer's enterprise architect signs. Twelve modules with deliverables. Plus a hand-built playbook for your specific account mix.
What you walk away with
- A documented PrivateLink topology pattern.
- A customer-managed key pattern with AWS KMS multi-region keys.
- An S3 Iceberg interoperability pattern.
- An IAM federation pattern.
- An observability stack integration.
- A cost model in AWS terms.
- A shared-responsibility framing.
- A 10-week build plan.
The 12 modules
Module 1. The 2026 Snowflake on AWS landscape
Walkthrough of the 2026 Snowflake-on-AWS landscape. The AWS-anchored enterprise architecture team profile. The AWS Control Tower / custom landing zone status across enterprise customers. The KMS multi-region key adoption profile. The PrivateLink architecture profile. The IAM federation profile. The competitive landscape against AWS-native data platforms (Redshift Serverless, Athena, Glue, EMR Serverless) and the cross-cloud alternatives (Databricks on AWS).
Module 2. PrivateLink topology
Build the PrivateLink topology pattern. The Snowflake PrivateLink endpoint configuration. The customer-side VPC endpoint pattern. The Transit Gateway integration. The customer landing zone integration. The DNS configuration. The customer-side network segmentation. The integration with the customer's existing east-west traffic patterns. Plus the worked example for a customer with three AWS regions and a hub-spoke landing zone.
Module 3. Customer-managed key pattern
Build the customer-managed key pattern. The AWS KMS multi-region key configuration. The Snowflake Tri-Secret Secure integration. The key-rotation framework. The key-policy framework. The audit-trail pattern (CloudTrail integration). The break-glass pattern. The integration with the customer's existing KMS governance. Plus the worked example for a customer with multi-region BYOK requirements.
Module 4. S3 Iceberg interoperability
Build the S3 Iceberg interoperability pattern. The customer's S3 data-lake topology. The Iceberg-format landing pattern. The Snowflake Iceberg-table integration. The Polaris external catalog pattern. The integration with the customer's existing Glue Data Catalog where applicable. The data-classification overlay. Plus the worked example for the customer's typical analytics-plus-AI workload mix.
Module 5. IAM federation pattern
Build the IAM federation pattern. The customer's identity provider integration (Okta, Microsoft Entra ID, Ping Identity, AWS IAM Identity Center). The SCIM provisioning pattern. The role-based access pattern. The session-policy pattern. The customer-side audit-trail integration. The break-glass pattern. Plus the worked example for the customer's typical user-population and the role-hierarchy that maps to it.
Module 6. Observability stack integration
Build the observability stack integration. The Snowflake account-usage integration with the customer's existing observability platform. The CloudWatch integration pattern. The Datadog integration pattern. The Splunk integration pattern. The OpenSearch integration pattern. The metric-and-log routing framework. The alerting framework. Plus the worked example for the customer's typical SRE operating model.
Module 7. Cost model in AWS terms
Build the cost model in AWS terms. The Snowflake credit-consumption mapping to AWS-equivalent compute. The Snowflake storage cost mapping to S3-equivalent storage. The egress cost mapping. The Snowflake Reserved Capacity equivalent to AWS Savings Plans pattern. The integration with the customer's existing FinOps cadence. Plus the worked example for the customer's first-year cost model comparison.
Module 8. Shared-responsibility framing
Build the shared-responsibility framing. The customer-managed responsibility list. The Snowflake-managed responsibility list. The AWS-managed responsibility list. The integration with the customer's existing AWS shared-responsibility framework. The integration with the customer's existing risk-management committee cadence. Plus the worked example for the shared-responsibility document the customer enterprise architect signs.
Module 9. Disaster recovery and business continuity
Build the disaster recovery and business continuity pattern. The Snowflake replication framework. The customer's regional failover pattern. The cross-region key replication. The cross-region PrivateLink pattern. The recovery-time-objective and recovery-point-objective framework. The integration with the customer's existing BCP exercise cadence. Plus the worked example for a customer with multi-region resilience requirements.
Module 10. Data ingestion patterns
Build the data ingestion patterns. The Snowpipe pattern. The Kinesis Data Firehose integration. The MSK integration. The AWS DMS integration. The Snowpark container-services integration. The integration with the customer's existing data-pipeline tooling (Airflow, Dagster, dbt). Plus the worked example for the customer's typical first-year ingestion pattern across operational and analytical workloads.
Module 11. Customer engagement structure
Build the customer engagement structure. The discovery phase. The reference-architecture phase. The pilot-workload phase. The full-rollout phase. The sustainment phase. The renewal conversation. The integration with the customer's existing AWS account-architecture cadence. Plus the worked example for a 12-month customer engagement and the pricing framework.
Module 12. Your 10-week build plan
Week by week. Weeks 1-2: landscape and PrivateLink topology. Weeks 3-4: customer-managed key and S3 Iceberg interoperability. Weeks 5-6: IAM federation and observability stack. Weeks 7-8: cost model, shared-responsibility, DR/BC. Weeks 9-10: data ingestion patterns, customer engagement structure. Deliverable: an AWS-anchored Snowflake reference architecture ready for the next enterprise customer.
How this addresses your situation
Specific modules that map to what you said you are dealing with.
Customer needs PrivateLink → Module 2.
Customer needs CMK → Module 3.
Customer wants Iceberg interop → Module 4.
Customer wants IAM federation → Module 5.
Customer wants observability → Module 6.
Customer asks about cost → Module 7.
Customer needs DR/BC → Module 9.
Customer needs ingestion patterns → Module 10.
What you get with this course
- The 12-module course delivered as text plus downloadable templates.
- Templates and worked examples for every module.
- A hand-built playbook generated for your specific account mix.
- Three reference architectures from peer Snowflake-on-AWS engagements.
- Scripted talking points for the customer enterprise architect engagement.
What you will have in hand by Day 1, Week 1, Month 1
Day 1: PrivateLink topology scaffold drafted.
Week 4: CMK and S3 Iceberg interoperability designed.
Week 8: IAM federation, observability, cost model, shared-responsibility, DR/BC operational.
Week 10: Reference architecture ready for next enterprise customer.
Before and after
Before
Default reference architecture at high abstraction. Customer enterprise architect asks AWS-specific questions. Conversation stalls until a follow-up. Pilot timeline slips.
After
Integrated AWS-anchored answer. Customer enterprise architect signs the shared-responsibility document. Pilot timeline holds.
What happens if you do not address this
AWS-anchored enterprise customers will adopt the platforms that respect their landing zone investment. Snowflake-on-AWS architects who do not arrive AWS-anchored lose to AWS-native alternatives or to cross-cloud alternatives.
Who it is for
For Snowflake architects with AWS-customer focus, senior solution engineers carrying AWS-anchored customer accounts, principal customer success architects on Snowflake-AWS engagements, and senior data architects at SI partners.
Who this is NOT for. Pure non-Snowflake practitioners. Practitioners with no AWS architecture experience. Pure non-data-platform roles.
How it arrives
Text-based course via LMS, plus downloadable templates and worked examples and the hand-built playbook.
Time investment. Roughly 18 hours of reading and 60 to 120 hours of build effort across the 10-week plan.
Why $199 is the right number
External Snowflake-on-AWS enterprise architecture consultants charge from 100,000 to 500,000 USD for reference architecture programmes. 199 USD buys the focused playbook and the implementation document for your account mix.
FAQ
Does this cover Snowflake on Azure too?
No. The Azure-anchored equivalent can be built on request.
What about Snowflake on GCP?
No. The GCP-anchored equivalent can be built on request.
Does this cover Snowpark Container Services?
Module 10 covers Snowpark Container Services in the ingestion context.
What is in the implementation playbook for me specifically?
Reference architecture tuned to your account mix, cost model matched to your customer's typical AWS spend, customer engagement structure pre-loaded with your sales cycle.
30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
