Enterprise / Principal Field Engineer

Cognite Cognite · Industrial · USA, USA, USA, USA, USA, USA, United States · Remote · Global Revenue

This role is for an Enterprise Field Engineer focused on the technical relationship with key clients in the industrial digitalization space. The engineer will establish trusted relationships, architect solutions, demonstrate new use cases, support deployment, and provide feedback to product teams. The role requires extensive experience in solution architecture, field engineering, or technical presales/postsales, with strong Python and software development skills, and expertise in industrial data and cloud platforms.

What you'd actually do

  1. You act as a technical liaison to key clients, establishing trusted relationships and ensuring alignment on solutions, integration architectures, and technical roadmaps to secure their willingness and confidence to scale and expand their use of Cognite Data Fusion®.
  2. Your close collaboration with Account Managers and Sales teams results in identified and prioritized client opportunities that drive mutual business value.
  3. You educate clients on Cognite Data Fusion® and related offerings, leading to successful adoption, solution integration, and value realization.
  4. You develop client-focused demos, reference architectures, and solution accelerators utilized by Cognite teams and customers.
  5. You act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.

Skills

Required

  • Python
  • software development best practices
  • client-facing skills
  • solution architecture
  • field engineering
  • technical presales/postsales
  • enterprise SaaS
  • cloud platforms
  • industrial software
  • industrial data
  • OT/IT convergence
  • data integration patterns
  • scalable architectures
  • data platforms
  • APIs
  • integration methods
  • data pipelines
  • storage
  • security
  • governance
  • cloud environments
  • hybrid environments

Nice to have

  • Education or practical experience relevant to key industry focus areas (e.g. petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering)
  • Knowledge of services and architectures provided by hyper scalers such as Azure, AWS and GCP
  • Demonstrated ability to lead technical validations and solution accelerators
  • Experience working closely with product and engineering teams
  • Strong communication, presentation, and influencing skills

What the JD emphasized

  • Extensive experience (5+ years) in solution architecture, field engineering, or technical presales/postsales roles, ideally in enterprise SaaS, cloud platforms, or industrial software.
  • Hands-on in Python, as well as good hands-on expertise with software development best practices.
  • Expertise in industrial data, OT/IT convergence, and data integration patterns, with the ability to design scalable architectures that connect operational and enterprise systems.
  • Good understanding of data platforms, APIs, and integration methods, including data pipelines, storage, security, and governance — particularly in cloud and hybrid environments.