Sales Engineer

Sales EngineerSales EngineerFull TimeRemoteTeam 51-200Since 2018Company SiteLinkedIn

Location

United States

Posted

16 days ago

Salary

Not specified

8 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSparkSQLTerraform

Job Description

• Work closely with Sales and Customer Success teams supporting new and existing customer pursuits to articulate NX1 capabilities/differentiators, define solution options/benefits, and identify modernization opportunities for client-specific workloads • Propose solution architecture and articulate benefits of NX1 for complex data driven workloads • Oversee initial customer onboarding ensuring automation, repeatability, and standardization across customer base • Act as a key product stakeholder contributing to the product roadmap, prioritization, and architecture definition. • Work closely with NX1 Product and Architecture team to define, design, and implement new Control Plane product features and entitlements • Contribute to NX1 and industry thought leadership and marketing content • Cultivate a culture of innovation and continuous improvement • Provide technical guidance and support to internal stakeholders on data analytics tools and best practices. • Stay updated with industry trends and emerging technologies in data analytics and open-source tools. • Develop standards, patterns, best practices, and formal training (boot camps) for internal engineers and client-facing delivery teams

Job Requirements

  • A minimum of 8 years of experience as a Solution Architect and 3 years as a Sales Engineer working with enterprise customers
  • Proven track record supporting the technology sales processes with the ability to articulate business benefits to non-technical stakeholders
  • Deep knowledge of open-source and proprietary modern data technologies, including Iceberg, Spark, Nifi, Jupyter Notebooks, Cloudera, Databricks, Kubeflow, MLFlow, Kafka, Debezium, etc.
  • Experience designing/building solutions across major cloud platforms (AWS, Azure, and GCP) using Kubernetes, Terraform, and CI/CD principles.
  • Proven experience architecting data pipelines and data infrastructure to support AI and ML at scale
  • Hands-on experience with programming languages, including Python, Java, Scala, GO, SQL, etc.

Benefits

  • A collaborative team culture built on curiosity and respect
  • Challenging work where your contributions clearly matter
  • A leadership team that invests in learning and development
  • The opportunity to work at the intersection of cloud, data, and AI innovation

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