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About the role
Fivetran's mission is to make access to data as simple and reliable as electricity — with dbt Labs now part of Fivetran, that mission extends from moving data into the warehouse to transforming and modeling it for trusted, governed analytics. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
- Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures
- Hands-on experience with SQL, ETL/ELT, and data modeling
- Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools
- Ability to gather and translate technical and business requirements into concrete solutions
- Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders
More about this role
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.
Fivetran's mission is to make access to data as simple and reliable as electricity — with dbt Labs now part of Fivetran, that mission extends from moving data into the warehouse to transforming and modeling it for trusted, governed analytics.
We're looking for a Sales Engineer to join our Enterprise sales team. In this role, you'll work closely with Sales to understand Enterprise customers' complex data requirements — spanning ingestion, transformation, and data modeling — and demonstrate how the combined Fivetran + dbt platform helps them build reliable, end-to-end data pipelines. You'll own technical evaluations across the full data lifecycle: from replicating data into the warehouse to transforming it into governed, analytics-ready models with dbt Cloud.
AWS, GCP, Azure, Snowflake, BigQuery, Databricks,...
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