The posting, in Fivetran's own words
archived Oct 1, 2026From 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
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. Technologies You'll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs
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What You'll Do
- Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling - Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition - Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation - Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable - Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap - Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) - Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion - Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We'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 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 - Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills - Prior experience at an analytics, ETL, BI, or open-source software company - Hands-on experience with dbt Cloud or dbt Core - Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) - Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) - Experience with self-hosted software applications and supporting infrastructure - Hands-on networking experience, cloud and on-premise 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 job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.