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Snowflake Careers Program

Build your career as a Snowflake Data Engineer

Develop Snowflake skills, work towards industry-recognized certifications and build real-world experience in a customer data environment.

Build your future in modern data engineering

Organizations rely on Snowflake to bring data together, scale analytics and create stronger foundations for AI.

That creates demand for Data Engineers who can build reliable pipelines, transform data and help make information usable across the business.

Our Snowflake Careers Program gives you a structured route into that role.

Training is delivered through Revolent, our specialist technology talent creation and training business. You’ll develop Snowflake Data Engineering expertise, build practical experience across the wider modern data stack and work towards relevant certifications based on the requirements of your customer placement.

Once training is complete, you’ll progress onto a placement with a customer for up to two years, working as part of their team while remaining with Revolent and applying your skills to live data initiatives.

Why build a career in Snowflake?

Snowflake has become a major platform for organizations looking to centralize data, support analytics and prepare their data environments for AI.

Data Engineers play a key role in making that possible. They build the pipelines, transformations and data models that allow information to move reliably through the platform and be used by analysts, applications and AI systems. Building Snowflake expertise gives you the opportunity to work at the center of modern data transformation.

What does a Snowflake Data Engineer do?

Snowflake Data Engineers design, build and maintain the data pipelines and structures organizations rely on to make their data accessible, trusted and useful.

You could be responsible for:

Building and maintaining data pipelines, transformations and models
Ingesting data from multiple systems into Snowflake
Improving data quality, performance and accessibility
Supporting scalable data architectures for analytics and reporting
Preparing reliable data for AI and machine learning workloads
Working with stakeholders to understand data requirements
Helping improve how data is stored, processed and managed across the platform

The exact responsibilities will depend on the customer environment and the role you are preparing for.

What sets the Snowflake Careers Program apart?

The program is designed to prepare you for a real Data Engineering role by combining technical learning with practical application and broader professional development.

Practical data engineering

At least 50% of training time is spent on hands-on exercises and technical projects to help you build confidence working through realistic challenges.

Relevant certifications

Depending on the requirements of your customer placement, you may work towards Snowflake and dbt certifications that help validate your technical knowledge.

Experience across the wider data stack

Training can introduce you to complementary technologies used alongside Snowflake in modern data environments.

Professional development

You’ll also develop communication, stakeholder management and consultancy skills that help you contribute effectively within customer teams.

What could your training cover?

Your training is shaped around the Snowflake Data Engineer role and the requirements of the customer placement you are preparing for.

Depending on those requirements, learning could include:

Snowflake architecture and core platform concepts
Data ingestion and integration
SQL and data transformation
Data modeling
dbt
Fivetran
Apache Airflow

Airbyte
Tableau
Data orchestration
Data quality and governance
Analytics-ready data practices
Foundations for machine learning and generative AI workloads

Your training will vary according to the customer environment and responsibilities involved in your placement.

What do you need to join the program?

You do not need previous Snowflake or cloud data platform experience to be considered.

You’ll typically need:

The skills and experience needed may vary based on our open customer requirements.

Build real-world Snowflake experience

After successfully completing your training, you’ll progress onto a customer placement for up to two years and work as part of their team while remaining with Revolent.

You’ll contribute to live data initiatives, take on responsibilities aligned to your Snowflake Data Engineer role and continue building practical experience in a real working environment.

Where could your Snowflake career take you?

As your experience grows, you could progress into areas such as:

At the end of your placement, there may also be an opportunity to transition permanently into the customer organization.

Our aim is to help you build the technical expertise and real-world experience needed for a long-term career in modern data and AI.

Ready to start your Snowflake career?

Build the Snowflake skills, certifications and practical experience to take your next step as a Data Engineer.

This is not a job ad. The information provided is intended as general information about our Tech Careers Programs.