FivetranHiring

Senior Sales Engineer, Enterprise

  • Remote, United States
  • Full-time
  • Senior
  • Posted 6 days ago
In one line

Senior technical advisor role for large enterprise accounts, helping customers evaluate and adopt a data transformation platform; based in the South Central region.

About the role

Someone who likes pairing sales conversations with hands-on technical work will fit here. The job is to run proofs of value from data ingestion through modeling and turn customer needs into product feedback.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, SQL
Posted
29 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Meet enterprise customers to learn their business needs across replication, transformation and modeling
  • Run proof-of-value projects, including private cloud deployments, and present the technical case to buyers
  • Build relationships with major customers and partners such as Snowflake, AWS and Databricks

What they look for

  • Comfortable advising large accounts as a technical partner through the whole customer lifecycle
  • Able to design solutions on the data platform and show measurable value during evaluations
  • Works well with sales, product and engineering teams
  • Hands-on with cloud data stacks and SQL

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Connector URL
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Connector URL
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Prompt
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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Sales Engineer, Enterprise as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: comfortable advising large accounts as a technical partner through the whole customer lifecycle; able to design solutions on the data platform and show measurable value during evaluations; works well with sales, product and engineering teams. Skills it names include AWS, GCP, Azure, Snowflake.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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