Lead Sales Engineer, Enterprise

Details of the offer

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 We're looking for a talented Sales Engineer to join our Enterprise sales team.
As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers' complex business needs and showcase how Fivetran's data replication solutions can help them achieve their desired business outcomes.
You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle.
This is a full-time position based out of Ireland, Germany, France or the UK.
Technologies You'll Use AWSGCPSnowflakeBigQueryDatabricksKafkaGrafanaWindowsPythonJavaWhat You'll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirementsDevelop and deliver technical presentations to Enterprise audiencesEnsure the technical win by running a tight proof-of-value processWork closely with Fivetran's Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needsDevelop and maintain relationships with key Enterprise customers and partnersStay up-to-date on the latest technologies and trends in our industryMinimum Qualifications 10+ years in data replication, sales engineering, or related technical fieldStrong technical background covering database replication, cloud infrastructure, and data replication technologiesExperience with modern data analytics technologies, including cloud data warehouses, data lakes, transformation tooling, data catalogs, and BI toolsExcellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholdersStrong problem-solving and analytical skillsBonus Skills Experience with SAP or Oracle/SQL Server databasesHands-on experience with other data replication or ETL toolsExperience with self-hosted software applications and supporting infrastructureHands-on networking experience both in the cloud and on-premisePerks and Benefits 100% employer-paid medical insuranceGenerous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days offProfessional development and training opportunitiesCompany virtual happy hours, free food, and fun team-building activitiesMonthly cell phone stipendAccess to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.May vary by country and worker type - please reach out to your recruiter for more information. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers.
We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities.
Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process.
If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request.
We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience.

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Nominal Salary: To be agreed

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