Senior Sales Engineer, Enterprise Data Platform

Fivetran, Inc.; California (MO); Hybrid; USD 192,000 - 239,000; Full time

Benefits offered by this job

100% employer-paid medical insurance

Generous paid time away from work

Professional development and training

Team-building activities

Monthly cell phone stipend

Mental health support resources

Job summary

Fivetran seeks a Sales Engineer to join our Enterprise team. You will work with Sales to understand complex data requirements—spanning ingestion, transformation, and modeling—and demonstrate how the Fivetran + dbt platform enables reliable, end-to-end data pipelines.

You’ll own technical evaluations from proof-of-value to deployment, collaborate with Product and Engineering, and nurture relationships with Enterprise customers and partners like Snowflake, AWS, and Databricks.

Qualifications

• 7+ years in data replication, sales engineering, or related roles.
• Strong SQL, ETL/ELT, and data modeling experience.
• Experience with cloud data warehouses and modern data analytics tools.

Responsibilities

• Understand Enterprise data requirements across replication, transformation, and modeling.
• Deliver technical presentations to Enterprise audiences.
• Run a proof-of-value from ingestion to transformation.
• Guide dbt Cloud proof-of-concept implementations for enterprise clients.
• Align solutions with customer needs with Product and Engineering.
• Maintain relationships with Enterprise customers and partners.
• Manage technical relationship across the full customer lifecycle.
• Stay current on data movement and analytics trends.

Skills

Sales Engineering

Solutions Architecture

Data Replication

Data Analytics

SQL

Communication Skills

Tools

dbt Cloud

dbt Core

Snowflake

AWS

Databricks

Job description

Fivetran seeks a Sales Engineer to join our Enterprise team. You will work with Sales to understand complex data requirements—spanning ingestion, transformation, and modeling—and demonstrate how the Fivetran + dbt platform enables reliable, end-to-end data pipelines.

You’ll own technical evaluations from proof-of-value to deployment, collaborate with Product and Engineering, and nurture relationships with Enterprise customers and partners like Snowflake, AWS, and Databricks.