Senior Sales Engineer, Commercial Expansion

Fivetran
Denver, Colorado, United States, AMERPosted 11 March 2026

Job Description

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. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Sales Engineer to join our Commercial Expansion team to drive revenue growth across key existing Commercial accounts. In this role, you will partner closely with Account Managers (AMs), Customer Success Managers (CSMs), and Sales leadership to identify, develop, and close expansion opportunities within your book of business. Your focus will be on increasing customer value and revenue by: Selling into additional business units Expanding new use cases Introducing new connectors and product capabilities Expand platform value and adoption across teams You will serve as the technical owner of expansion motions and be accountable for achieving the technical win that drives measurable revenue growth. This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kubernetes, Docker, Podman,Grafana, Linux, Windows, Python, Java What You’ll Do Drive expansion opportunities across a defined set of Commercial accounts Identify new use cases, whitespace opportunities, and additional business units Lead technical discovery for upsell and cross-sell motions Position new connectors, extended offerings, and advanced product capabilities Partner with AMs and CSMs to identify usage signals and expansion readiness Drive conversations around data growth, new pipelines, and broader adoption Help customers scale architecture to support increased volume and complexity Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Proven experience driving upsell or expansion within existing accounts Strong technical background in database replication, cloud infrastructure, and modern data architectures Experience with cloud data warehouses, transformation tooling (dbt), data catalogs, and BI tools Ability to identify growth signals and translate them into expansion strategies Strong discovery and consultative selling skills Excellent communication skills across technical and business audiences Strong analytical and problem-solving skills Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands-on experience with ETL or data replication tools Experience with SaaS and self-hosted deployments Cloud and on-prem networking fundamentals Bonus Skills Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands-on experience with DBT Experience working in a Commercial Expansion or Existing Business motion Experience partnering closely with CSM organizations to convert adoption into revenue Hands-on experience with dbt #LI-HYBRID #LI-MP1 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 spec ... (truncated, view full listing at source)
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