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Snowflake Hire, Train, Deploy

Get more from Snowflake with the right data engineering talent

Build Snowflake Data Engineers with the technical expertise to turn your data platform into a stronger foundation for analytics, reporting and AI.

Turn your Snowflake investment into business value

Snowflake gives organizations the ability to bring data together, scale workloads and make information more accessible across the business. But the platform alone does not create value.

Data needs to be ingested, transformed, modeled and managed effectively before teams can rely on it for reporting, analytics or AI. That makes strong data engineering expertise critical to both the performance of your Snowflake environment and the outcomes it supports.

Revolent’s Snowflake Talent Program helps you create Data Engineers around those requirements, combining focused technical training with practical experience and continued development throughout their deployment.

What does a Snowflake Data Engineer do?

Snowflake Data Engineers help customers design, build and optimize modern data environments that make information easier to access, manage and use across the business. They support the development of scalable data pipelines and architectures that improve performance and provide stronger foundations for analytics and AI.

Build and maintain data pipelines, transformations and models within Snowflake
Improve data quality, performance and accessibility across the platform
Support scalable data architectures for analytics, reporting and AI workloads
Help customers optimize how data is stored, processed and managed in Snowflake

Our Snowflake Hire, Train, Deploy pathway goes beyond platform fundamentals. As a member of the Snowflake Partner Network, our training is designed to give Data Engineers practical experience across the tools, processes and technologies they are likely to encounter in modern data environments.

Snowflake training built for real-world data engineering

Core areas can include:

Intensive 9-week Snowflake Data Engineer training with a strong focus on practical application and hands-on labs
Snowflake and dbt certification pathways that build validated platform and transformation expertise
Training across Snowflake, dbt, Fivetran, Apache Airflow, Airbyte and Tableau
Technical coverage spanning data ingestion, orchestration, transformation, modeling, governance and data engineering patterns
Foundations for machine learning and generative AI, including the data practices needed to support AI-ready environments
Continued technical development after deployment to keep pace with Snowflake product updates and changing project requirements

How we build your Snowflake team

1 Contratar

We identify professionals with relevant data experience, technical aptitude and the potential to develop into high-performing Snowflake Data Engineers.

2

Tren

Each professional completes focused Snowflake training designed around the technical requirements, workloads and priorities of your data environment.

3

Deploy

Once training is complete, they join your team for up to two years and apply their Snowflake knowledge directly to data pipelines, transformations, models and platform operations.

4

Desarrollar

Learning continues throughout the deployment, helping your Data Engineers deepen their Snowflake expertise and adapt as your data requirements evolve.

5

Convertir

At the end of the deployment, they can transition into permanent roles within your organization, allowing you to retain the knowledge and experience built within your Snowflake environment.

Build data engineering expertise around your Snowflake roadmap

Your Snowflake requirements will change as data volumes grow, new workloads are introduced and analytics and AI become more embedded across the business.

Revolent’s Hire, Train, Deploy model gives you a way to build Data Engineers around those changing requirements rather than waiting for the exact combination of experience to become available externally.

You can align training to your Snowflake environment, develop expertise through real work and create a stronger pipeline of data engineering talent for the longer term.

Ready to strengthen your Snowflake team?

Tell us what you need from your Snowflake environment and we’ll help you build the Data Engineering talent to support it.