Fivetran
Sales Engineer Enterprise
About this role
Fivetran seeks an experienced Sales Engineer to support enterprise customers in understanding their data replication needs and demonstrating how Fivetran's solutions drive business outcomes. You'll blend technical expertise with sales acumen, managing proof-of-value processes and collaborating with product teams to ensure customer success.
What you'll do
- Understand enterprise customer business needs and data replication requirements through discovery conversations
- Develop and deliver technical presentations tailored to enterprise audiences
- Lead proof-of-value processes to validate technical fit and business impact
- Partner with product and engineering teams to align solutions with customer needs
- Build and maintain strategic relationships with key enterprise customers and partners
- Stay current with industry trends in data infrastructure and modern analytics technologies
What they're looking for
- 7+ years in data replication, sales engineering, or related technical field
- Database replication and cloud infrastructure expertise
- Modern data warehouses (Snowflake, BigQuery, Databricks)
- Cloud platforms (AWS, GCP, Azure)
- Data streaming and integration technologies (Kafka)
- Programming languages (Python, Java)
- Strong communication and presentation abilities
- Enterprise sales cycle management
Opens the official application on the employer’s site. No login required.
Fivetran
Fivetran builds a data pipeline platform that enables reliable integrations and data flows across enterprise systems at scale. The company is hiring Software Engineers to develop high-performance distributed systems, Systems Engineers to maintain integrations, and Customer Support Engineers to help customers resolve technical issues with their data pipelines.
- Website
- fivetran.com
Likely interview questions
- Walk us through your experience with data replication technologies and how you've applied that knowledge in a sales engineering context.
- Describe a complex enterprise customer requirement you helped solve. How did you identify their needs and validate your solution?