Senior Sales Engineer, Enterprise
FivetranRemote, Massachusetts, United States, AMERPosted 7 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
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, remote position based in New England (MA, CT, RI, NH) and must be willing to travel 20%+.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, API, Linux, Windows, Python, Java, RDBMs (ie Oracle, SQLServer, DB2, etc.)
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, Support, 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 of experience selling IT services or products in an enterprise or similarly complex environment.
Working knowledge of at least one relational database management system (RDBMS) such as Oracle, SQL Server, PostgreSQL, DB2, or Sybase.
Candidates should have experience interacting with databases.(e.g., basic troubleshooting, basic knowledge of logging/archiving, OR basic installation/administration)
Working knowledge of at least one cloud data warehouse platform (CDW)
Proven ability to partner cross-functionally with Post-Sales Services, Support, and Engineering teams to align solutions with enterprise customer requirements.
Strong technical background in database replication, cloud infrastructure, and data integration technologies.
Experience with modern data analytics technologies, including cloud data warehouses, transformation tools, data catalogs, and BI platforms.
Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
Strong problem-solving and analytical skills.
Technologies You’ll Use
Cloud Platforms: AWS, GCP, Azure
Data Warehouses Analytics: Snowflake, BigQuery, Databricks
Data Integration Streaming: Kafka, APIs
Databases: Oracle, SQL Server, DB2, and other relational databases
Monitoring: Grafana
Programming Languages: Python, Java
Operating Systems: Linux, Windows
As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.
#LI-MM1 #LI_REMOTE
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 j ... (truncated, view full listing at source)
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