Senior Enterprise Sales Engineer — Data & Analytics

Quest Oracle Community; Oakland, Northern (CA, KY); Hybrid; USD 167,000 - 208,000; Full time

Benefits offered by this job

Medical insurance

Paid time off

RSU stock grants

Professional development

Team-building activities

Cell phone stipend

Mental health platform

Job summary

Fivetran is seeking a Senior Sales Engineer for Enterprise to work with our sales team, understanding complex customer needs and demonstrating how data replication and transformation solutions can drive outcomes. You will deliver technical presentations and guide proof-of-value with enterprise clients.

You’ll collaborate with product, engineering, and services teams, staying current on cloud data warehouses and BI tools while building long-term customer relationships.

Qualifications

• 5+ years in data replication, data operations, analytics, or sales engineering.
• Proven ability to work cross-functionally with large enterprise customers.
• Strong technical background in data replication, cloud infra, and databases.

Responsibilities

• Understand enterprise customers' business needs and data replication requirements.
• Collaborate with AEs, Professional Services, BDRs, marketing, and support.
• Develop and deliver technical presentations to enterprise audiences.
• Lead proof-of-value process to ensure technical win.
• Coordinate with Product and Engineering to align solutions.
• Build and maintain relationships with enterprise customers and partners.
• Stay updated on industry technologies.

Skills

Data replication

Cloud infrastructure

Analytics

BI tools

Cross-functional

Communication

Tools

Oracle

SQL Server

SAP

Python

Job description

Fivetran is seeking a Senior Sales Engineer for Enterprise to work with our sales team, understanding complex customer needs and demonstrating how data replication and transformation solutions can drive outcomes. You will deliver technical presentations and guide proof-of-value with enterprise clients.

You’ll collaborate with product, engineering, and services teams, staying current on cloud data warehouses and BI tools while building long-term customer relationships.