Senior Sales Engineer, Enterprise

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.


• 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

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