<div class="content-intro"><p>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.</p></div><p><span style="font-size: 10pt;"><strong>About the Role</strong></span></p> <p><span style="font-size: 10pt;">As a Fivetran Sales Engineer in ASEAN, you will drive massive transformation and efficiency for enterprise customers 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 build 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.</span></p> <p><span style="font-size: 10pt;">This is a full-time, remote position based in Singapore.</span></p> <p><span style="font-size: 10pt;"><strong>What You'll Do</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Drive pre-sales technical discovery and solutioning discussions with data architects, data engineers, database administrators, systems architects, and other technical professionals at all levels of customer organizations interested in getting more value out from their data</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">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</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Respond to technical enquiries including Requests for Informations (RFIs), Proposals (RFPs) and similar formal documents</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Enable Fivetran staff, partner teams, and the data engineering community at large on data concepts, product features, competitive positioning, and best practices; this may take a variety of forms including but not limited to written articles, group presentations, bespoke training sessions, recorded videos, one-to-one coaching, etc.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Provide technical guidance and assistance to new customers to ensure successful adoption and scale</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Be intimately familiar with and have a positive reputation within the ASEAN region.</span></li> </ul> <p><span style="font-size: 10pt;"><strong>Skills We're Looking For</strong></span></p> <ul> <li style="font-size: 10pt;"><span style="font-size: 10pt;">At least 6-8 years working/operational experience with Oracle, Microsoft SQL Server, SAP or similar within an enterprise or providing and supporting end-user database operations as a systems integrator</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Experienced in Data Replication/Integration (CDC) tools</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Solid knowledge of data lakes, lake houses and scalable data foundations for AI use cases</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Proficiency in SQL scripting</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Knowledge in Python/JavaScript and Rest API interaction</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Hands-on experience with modern databases (PostgreSQL, MariaDB/MySQL, MongoDB) in on-premise and cloud deployments.</span></li> <li style="font-size: 10pt;"><span style="font-size: 10pt;">Working knowledge with one or more major cloud providers (AWS, GCP, Azure)</span></li> <li style="font-size: 10pt;"><span style="font-size:
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