Snowflake for Analytics Engineers

Learn to use Snowflake as an analytics engineering platform, not just a place to run SQL. Build practical skills across architecture, performance, security, cost awareness, dbt integration, and AI-assisted development.
Length & format

2-day instructor-led training (virtual or on-site)

Why take this course?

Analytics engineers often work in Snowflake every day without a clear understanding of how the platform behaves underneath their models. This course builds the platform knowledge needed to design better workloads, troubleshoot issues, work safely within enterprise environments, and make smarter engineering decisions.

Who is this for?

Analytics engineers, data engineers, analytics developers, and technical leads who use Snowflake as part of their day-to-day analytics stack and want to deepen their platform knowledge from an analytics engineering perspective.

What is expected from you?

You are comfortable with SQL and modern analytics engineering workflows. Experience with dbt is helpful but not required. No Snowflake administration background is expected.

What you will learn?
  • Understand Snowflake architecture and how compute, storage, and services interact
  • Design and troubleshoot performant analytics workloads
  • Work effectively with warehouses, scaling, caching, and resource usage
  • Understand roles, access control, and secure development patterns
  • Integrate Snowflake effectively with dbt and modern analytics workflows
  • Use Snowflake-native and AI-assisted tools to accelerate SQL development and investigation
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Build the Snowflake knowledge analytics engineers need to make better decisions in production. Our experts connect platform concepts directly to the workflows, trade-offs, and problems analytics teams face every day.

Hands-on learning

Work through practical exercises covering Snowflake architecture, query behavior, performance, permissions, dbt integration, and troubleshooting.

Learn from experts

Our instructors are analytics and data practitioners who work with Snowflake in real production environments and understand the platform through the lens of analytics engineering.

Built for modern data teams

Learn how Snowflake fits into the wider analytics engineering stack, including dbt, team workflows, governance, cost awareness, and AI-assisted development.

Meet your instructors

Marvin Geerken

Co-founder, Lead INSTRUCTOR
Started in e-commerce before finding his path in data.
After earning a master's in Business Intelligence and Analytics, he joined Scalefree, a consultancy specializing in modern, large-scale enterprise data platforms.
He became a core expert in dbt, Snowflake, and Data Vault - developing automations and leading implementations.
After building a dbt + Data Vault training program, his passion for enablement was sparked, he then went freelance in 2023 to seek independence and greater impact.
Marvin connected with Simo around a shared vision, leading to the founding of Breakout Labs.
He then continues to support enterprise clients like Siemens while co-leading Breakout Labs' training content and delivery.

Gideon Fernandez

INSTRUCTOR
Started as a data consultant at Accenture and
founded his own data consultancy, Velocity Sense, in 2017.
He is based originally in Washington, DC, focused on helping startups and businesses adopt modern analytics stacks.
Working as both a data architect and hands-on engineer, he has delivered end-to-end data projects, enabled companies to run AI-powered analytics from a single source of truth across diverse industries including e-commerce, solar energy, healthcare, marketing, and logistics.
Guided by the principle of "Measure Twice, Cut Once" - prioritizing careful planning over speed, he believes that understanding each business's unique core challenges is the foundation of every successful project.