Senior Sales Engineer, Enterprise
FivetranRemote, Florida, United States, AMERPosted 11 March 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 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 functional and technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle
This is a full time position based remotely in Georgia and Florida.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, API, Linux, Windows, Python, Java, RDBMs
What You’ll Do
Work with Enterprise customers to understand their business requirements, use cases, and data replication requirements
Develop and deliver functional and technical presentations to Enterprise audiences
Ensure the technical win by running a tight proof-of-value process
Work closely with Fivetran’s Product, Post Sale Services 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
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
5+ years in selling IT services or products within an enterprise or similarly complex environment
#LI-REMOTE #LI-MT2
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$154,912
$193,640 USD
OTE (On Target Earning)
$197,512.50
$246,890.63 USD
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 ... (truncated, view full listing at source)
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