Fivetran
Sales Engineer Enterprise
About this role
Fivetran seeks an Enterprise Sales Engineer to bridge technical and commercial conversations with large-scale customers, demonstrating how data replication solutions solve complex business challenges. You'll lead proof-of-value engagements, deliver technical presentations, and collaborate with product teams to drive deals forward.
What you'll do
- Understand Enterprise customer business needs and data replication requirements through discovery conversations
- Develop and present technical demonstrations and architecture recommendations to executive and technical audiences
- Lead and manage proof-of-value projects to validate Fivetran's solutions and ensure technical fit
- Collaborate with Product and Engineering teams to align solutions with Enterprise customer requirements
- Build and maintain long-term relationships with key Enterprise customers and strategic partners
- Stay current with industry trends and competitive landscape in data infrastructure and analytics technologies
What they're looking for
- Data replication and database technologies
- Cloud platforms (AWS, GCP, Azure)
- Data warehouses (Snowflake, BigQuery, Databricks)
- Technical presentation and communication
- Proof-of-concept design and execution
- Python or Java programming
- Streaming technologies (Kafka)
- Enterprise sales engineering experience
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 a complex data replication challenge you solved—what was your technical approach and how did it influence the deal?
- How have you previously balanced the needs of technical stakeholders with commercial sales objectives in a large deal?