Design resilient multi-cloud Snowflake architectures with advanced data sharing, Iceberg pipelines, and enterprise security for the ARA-C01 exam.
Curriculum covers
27 modules · 60 hours · 24 live sessions
After this course, you will
Hands-on learning
3 industry capstone projects · built from scratch · yours to keep
Design and implement a Snowflake sharing architecture where a central provider account publishes governed datasets via secure listings to multiple consumer accounts. Apply secure views, column-level masking, and provision a reader account for external partners who do not have a Snowflake subscription.
Build an end-to-end change data capture pipeline by ingesting streaming events from AWS S3 via Snowpipe, capturing row-level changes with STANDARD Streams, and processing them with a task tree running MERGE statements into target tables with full monitoring and error handling.
Architect a hybrid Snowflake-Iceberg data lakehouse on AWS: create managed and unmanaged Iceberg tables backed by an S3 external volume, query Iceberg data from Snowflake, and benchmark query performance and cost vs native Snowflake tables using the Query Profile tool.
Plus 16 guided mini-projects across the curriculum — Q&A bots, resume screeners, SQL helpers, and more.
⚡ Seats filling fast — only 6 remaining across all batches
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 10 weeks | 22 Aug 2026 | Available |
| Weekday | Mon–Fri, 7–9pm | 8 weeks | 24 Aug 2026 | Available |
| Fast-track | Mon–Sun, 6 hours/day | 2 weeks | 31 Aug 2026 | Available |
ARA-C01 is the SnowPro Advanced: Architect certification exam. It targets experienced data engineers and architects who design and manage complex Snowflake environments involving multi-cloud deployments, advanced security architecture, and large-scale data sharing.
The Architect course focuses on system design decisions — multi-account topology, security architecture, sharing patterns, and reference architectures — while the Data Engineer course focuses on hands-on pipeline construction using Snowpipe, Iceberg tables, and streams and tasks.
Zero-copy cloning creates an instant copy of a table, schema, or database without duplicating the underlying data — only changes after the clone consume additional storage. This enables non-disruptive dev and test environment creation and point-in-time snapshots at near-zero cost.
Snowflake's database replication and failover feature asynchronously replicates data across accounts in different cloud regions or providers. You can promote a secondary account to primary with a single command, enabling business continuity across cloud boundaries.
The course covers the Snowflake Spark Connector for reading and writing Snowflake data from Spark pipelines. The focus is on architecture patterns — when to use Spark vs Snowpark for data processing — rather than deep Spark internals.
Yes. The Architecture domain covers reference architectures including data mesh topology using multiple Snowflake accounts for domain ownership, governed sharing via the Marketplace, and centralised governance with decentralised data access and producer-consumer contracts.
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