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FivetranFivetranGeorgia

Sales Engineer Enterprise

Partner with sales to understand enterprise customer data challenges, design and demonstrate Fivetran + dbt solutions, run proof-of-value processes, and drive technical wins through the full sales and adoption lifecycle. Requires 4+ years solutions engineering experience, strong SQL/ELT/data warehousing background, and excellent communication skills.

158k – 247k/yr
Remote4+ YOESales Engineering

About the role

What You’ll Do

  • Work with Enterprise customers to understand their business requirements, use cases, and develop prescriptive solutions recommendations
  • Develop and deliver value-based, technical solution demonstrations to enterprise audiences
  • Own and drive structured proof-of-value process that secures the technical win
  • Work closely with Product, Support, Customer Success and Engineering teams to ensure alignment of our solutions to enterprise customer needs
  • Own the full customer lifecycle from pre-sale evaluation through product adoption and expansion
  • Develop and maintain relationships with customers and key partners
  • Stay up-to-date on the latest technologies and trends in our industry

Skills We’re Looking For

  • 4+ years of Enterprise solutions engineering experience driving end to end technical sales cycle
  • Strong technical background, with hands-on experience in SQL, ELT, data modeling, analytics engineering, databases or software development
  • A firm understanding of a modern data warehousing architectures and the ability to discuss them credibly with technical audiences
  • Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical personas
  • Bias for action - you move fast, ship early, and refine as you learn
  • A passion for being an inclusive teammate and involved member of the community

Bonus Skills

  • Knowledge or prior experience with dbt
  • Networking and security knowledge relevant to enterprise deployments, such as private networking, VPC/PrivateLink, encryption, and data governance controls
  • Experience designing and implementing solutions for enterprise agentic AI use cases (data, security, or infrastructure)

Technologies You’ll Use

  • AWS, GCP, Azure, Snowflake, Databricks, Redshift, BigQuery, Python, Git, APIs, SQL, RDBMS (i.e. SQL Server, PostgreSQL..etc)

Compensation

Pay Range: $158,010—$197,512.50 USD
OTE (On Target Earning): $197,512.50—$246,890.63 USD

Skills

SQLELTData Modelinganalytics engineeringPythonAWSGCPAzureSnowflakeDatabricksBigQuerydbtAPIs
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