dbt Cloud Data Engineer

About the role

You will develop, operate, and continuously improve production transformations in dbt Cloud and Snowflake for Global Customer Success. Advanced, hands-on dbt capability is a must. This role is responsible for the daily operation of dbt jobs: building models, processing complex and high-volume datasets efficiently, monitoring execution, resolving failures, and ensuring reliable outputs for data products, analytics, and AI use cases.

What you'll do

• Develop, test, document, deploy, and operate dbt models and jobs each day in dbt Cloud and Snowflake, transforming Global Customer Success source data into reliable
• Process complex, high-volume datasets efficiently by applying appropriate model boundaries, incremental logic, materializations, scheduling, warehouse use
• Monitor dbt job execution, runtime, failures, regressions, and Snowflake compute consumption
• Work with and help develop the CI/CD, code-review, testing, release, and documentation standards for our growing data team
• Work with data scientists, dashboard developers, and AI application owners to verify that production outputs meet downstream requirements, while maintaining models

What you need

• 1–3 years in data science & ai
• dbt
• SQL
• Snowflake
• CI/CD
• VBA
• Test automation
• Any graduate

Good to have

• Python
• SaaS sales
• Git
• Customer success

What you get