Snowflake SnowPro Advanced – Architect
Course Summary
The SnowPro Advanced: Architect certification validates your ability to design and optimize enterprise-grade Snowflake data architectures. It goes beyond operational tasks to focus on scalable data design, security enforcement, performance tuning, cross-cloud architecture, and data lifecycle management.
This advanced training equips architects and senior engineers to design Snowflake solutions that are robust, cost-effective, secure, and ready for analytics at scale. The course prepares you for the SnowPro Advanced: Architect certification, one of the most prestigious role-based credentials in the Snowflake ecosystem.
Why Choose This Course
With data volumes and complexity growing fast, companies need skilled professionals to design strategic data platforms using Snowflake. This course helps you:
Master architecture best practices across multi-cloud Snowflake environments
Understand how to balance performance, cost, and governance in design decisions
Gain advanced skills in data sharing, modeling, replication, and automation
Prepare confidently for the SnowPro Advanced: Architect certification exam
Learn from real-world scenarios led by Snowflake architects and certified trainers
This training is ideal for professionals who want to move from hands-on engineering to strategic design leadership roles in data.
Who Should Enroll
This course is ideal for:
Data architects responsible for designing Snowflake-based platforms
Solutions architects working on modern data warehouse projects
Senior data engineers transitioning into architectural roles
Professionals preparing for the SnowPro Advanced: Architect certification
Consultants and team leads designing multi-cloud or cross-region Snowflake deployments
Skills You Will Gain
End-to-end Snowflake architectural planning and platform design
Building scalable, secure, and governed data ecosystems
Designing for data sharing, multi-tenancy, and secure collaboration
Cross-cloud architecture and replication strategy planning
Performance and cost optimization through architectural choices
Integration strategy with BI tools, APIs, and external data platforms
Career Benefits
After completing this training, you will:
Be fully prepared for the SnowPro Advanced: Architect Certification
Qualify for high-level roles such as Snowflake Architect, Cloud Data Architect, or Enterprise Data Strategist
Demonstrate expertise in designing Snowflake environments for analytics, AI/ML, and governance at scale
Be equipped to lead architecture and platform modernization projects
Advance your standing in a fast-growing, cloud-native data career path
Design the Future of Data — With Snowflake
Data architecture is at the heart of every digital transformation. This certification and course will give you the credibility and capability to architect smart, secure, and scalable Snowflake solutions for the enterprise.
Enroll today. Become a certified Snowflake Architect.
Snowflake SnowPro Advanced - Architect Syllabus
Modules
Accounts and Security - 25%
- Design a Snowflake account and database strategy, based on business requirements.
Create and configure Snowflake parameters based on a central account and any additional accounts.
List the benefits and limitations of one Snowflake account as compared to multiple Snowflake accounts.
- Design an architecture that meets data security, privacy, compliance, and governance requirements.
Configure Role Based Access Control (RBAC) hierarchy
System roles and associated best practices
Data Access
Data Security
Compliance
- Outline Snowflake security principles and identify use cases where they should be applied.
Encryption
Network security
User, Role, Grants provisioning
Authentication
Snowflake Architecture - 30%
- Outline the benefits and limitations of various data models in a Snowflake environment.
Data models
- Design data sharing solutions, based on different use cases.
Use Cases
- Sharing within the same organization/same Snowflake account
- Sharing within a cloud region
- Sharing across cloud regions
- Sharing between different Snowflake accounts
- Sharing to a non-Snowflake customer
- Sharing Across platforms
Snowflake Marketplace
Data Exchange
Data Sharing Methods
- Create architecture solutions that support Development Lifecycles as well as workload requirements.
Data Lakes and Environments
Workloads
Development lifecycle support
- Given a scenario, outline how objects exist within the Snowflake Object hierarchy and how the hierarchy impacts an architecture.
Roles
Virtual warehouses
Object hierarchy
Database
- Determine the appropriate data recovery solution in Snowflake and how data can be restored.
Backup/Recovery
Disaster Recovery
Data Engineering - 25%
- Determine the appropriate data loading or data unloading solution to meet business needs.
Data sources
Ingestion of the data
Architecture Changes
Data unloading
- Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake.
Connectors
- Kafka
- Spark
- Python
Drivers
- JDBC
- OBDC
API endpoints
SnowSQL
- Determine the appropriate data transformation solution to meet business needs.
Materialized views, views, and secure views
Staging layers and tables
Querying semi-structured data
Data processing
Stored Procedures
Streams and Tasks
Functions
- External functions
- User-Defined Functions (UDFs)
Performance Optimization - 20%
- Outline performance tools, best practices, and appropriate scenarios where they should be applied.
Query profiling
Virtual Warehouse configuration
Clustering
Search Optimization Service
Caching
Query rewrite
- Troubleshoot performance issues with existing architectures.
JOIN explosions
Virtual warehouse selection (scaling up as compared to scaling out)
Best practices and optimization techniques
Duplication of data
Monitoring and alerting
- Statistics
- Resource monitoring
- Account usage and information schema
