Enterprise Sales Engineer- Containerization

Fivetran Fivetran · Data AI · United States · Remote · Sales Department

Fivetran is seeking a Senior Sales Engineering Specialist with expertise in containerization (Kubernetes, Docker) to support their Hybrid Deployment architecture. The role involves working with sales teams, SRE, and Product to accelerate customer understanding of the Hybrid Deployment model, ensuring its comprehensive support and implementation. The specialist will also teach and enable peers on Hybrid Deployment techniques.

What you'd actually do

  1. Create, secure, network, and validate containerized hybrid deployment data pipeline architectures in conjunction with our customers, account executives, and field sales engineering teams, for maximum scalability and security.
  2. Work closely with Fivetran’s Product and engineering teams to ensure our Hybrid Deployment capabilities are fit for purpose, secure, cost-effective, and well implemented.
  3. Stay up-to-date on the latest technologies and trends in containerization, security, autoscaling and secure data management.
  4. Teach, enable, and coach your peers at Fivetran on the virtues and techniques of Hybrid Deployment and how to deliver its value to customers.

Skills

Required

  • Kubernetes
  • Docker
  • Podman
  • AWS
  • Azure
  • Google Cloud Platform
  • Amazon Elastic Kubernetes Service
  • Azure Kubernetes Service
  • Google Kubernetes Engine
  • data integration platform
  • container management software
  • cloud computing platforms
  • networking considerations
  • databases
  • high availability
  • SaaS applications and their APIs
  • GenAI architectures
  • cloud data warehouses
  • business intelligence
  • containerized hybrid deployment data pipeline architectures
  • secure data management
  • autoscaling

Nice to have

  • customer contexts

What the JD emphasized

  • deep expertise in containerization
  • deep understanding of the following technologies
  • extensive work with Kubernetes or Docker
  • Hands-on expertise with modern cloud, on-premise, and hybrid-cloud data architectures and connectivity mechanisms
  • Strong analytical and problem-solving skills, particularly in the context of containerized architectures