Lead Sales Engineer, Enterprise

Fivetran Fivetran · Data AI · Australia · Remote · Sales Department

Fivetran is seeking a Lead Sales Engineer to guide enterprise customers in leveraging data for AI workloads. The role involves understanding customer needs, conducting technical demonstrations, managing POCs, and developing relationships. The Sales Engineer will also enable internal teams and the data engineering community, and provide technical guidance for customer adoption. This role requires extensive experience in data replication, sales engineering, and knowledge of data lakes, lakehouses, and cloud data warehousing, with a focus on enabling AI use cases.

What you'd actually do

  1. Work with Enterprise customers to understand their business, their use cases, and drive pre-sales discovery and solutioning engagements with all levels of enterprise audiences
  2. Plan, manage, and effectively close out technical demonstrations and proof of concept (POC) projects, often serving as both the subject matter expert and project manager
  3. Respond to technical enquiries including Requests for Informations (RFIs), Proposals (RFPs) and similar formal documents
  4. Develop and maintain relationships with key Enterprise customers and partners
  5. Enable Fivetran staff, partner teams, and the data engineering community at large on data concepts, product features, competitive positioning, and best practices; e.g. blog articles, group presentations, training sessions, recorded videos, one-to-one coaching etc.

Skills

Required

  • 8+ years in data replication, sales engineering, or related technical field
  • Experienced in Data Replication/Integration (CDC) tools
  • Solid knowledge of data lakes, lakehouses and scalable data foundations for AI use cases
  • Proficiency in SQL scripting
  • Knowledge in Python/JavaScript and Rest API interaction
  • Hands-on experience with modern databases (PostgreSQL, Oracle, SQL Server, MongoDB, SAP) in on-premise and cloud deployments.
  • Working knowledge with one or more major cloud providers (AWS, GCP, Azure)
  • Knowledge with modern cloud data warehousing providers ( Snowflake or Databricks) and data lake architectures (Iceberg, Delta etc)
  • Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Strong problem-solving and analytical skills
  • Curiosity to learn and assimilate technical information quickly, enthusiasm to share and teach others
  • Experience selling into and influencing multi-faceted decision-groups within large and complex organizations

Nice to have

  • Passion for data and analytics, a philosophy of using technology to help solve business problems

What the JD emphasized

  • data foundations for the AI world
  • scalable data foundations for AI use cases