Lead Sales Engineer, Enterprise

About the Role

As a Fivetran Lead Sales Engineer in Australia, you will drive massive transformation and efficiency for customers of all sizes in a booming market. Using your experience with Data Replication/Integration, ETL/ELT, cloud data warehousing, data lake houses, and analytics, you will skillfully guide prospects and partners to faster, more reliable, and secure data foundations for the AI world. You will be directly and enthusiastically supported by a world-class Sales Engineering team, an agile and hungry APAC Sales team, and a suite of products that enable companies to leverage AI workloads with successful data foundations.

This is a full-time position based remotely out of Sydney,Australia.

What You'll Do

• 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
• 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
• Respond to technical enquiries including Requests for Informations (RFIs), Proposals (RFPs) and similar formal documents
• Develop and maintain relationships with key Enterprise customers and partners
• 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.
• Work closely with Fivetran’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs
• Provide technical guidance and assistance to new customers to ensure successful adoption and scale
• Be intimately familiar with and have a positive reputation within the Australia and New Zealand region.

Skills We're Looking For

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

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