Senior Sales Engineer, Enterprise
FivetranRemote, California, United States, AMERPosted 1 April 2026
Job Description
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a talented Senior Sales Engineer to join our Enterprise, Strategic Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.
This is a full-time, remote position based in US.
Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python
What You’ll Do
Work with Enterprise customers to understand their business, their use cases, and their data replication requirements
Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan
Develop and deliver technical presentations to Enterprise audiences
Ensure the technical win by running a tight proof-of-value process
Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs
Develop and maintain relationships with key Enterprise customers and partners
Stay up-to-date on the latest technologies and trends in our industry
Skills We’re Looking For
5+ years in data replication, sales engineering, or related technical field
Proven ability to work cross-functionally to support large enterprise customers
Strong technical background covering database replication, cloud infrastructure, and data replication technologies
Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools
Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
Strong problem-solving and analytical skills
Robust project management skills to work with large and complex customers
Bonus Skills
Experience with Oracle, SQL Server SAP databases
Hands on experience with other data replication or ETL tools
Experience with self-hosted software applications and supporting infrastructure
Hands on networking experience both in the cloud and on-premise
Perks and Benefits
100% employer-paid medical insurance *
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
* May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes .
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and re ... (truncated, view full listing at source)
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