Enterprise / Principal Field Engineer

Cognite Cognite · Industrial · Norway · Global Revenue

This role is for an Enterprise Field Engineer at Cognite, a company focused on industrial digitalization and AI solutions. The engineer will act as a technical liaison to key clients, helping them scale their use of Cognite Data Fusion®, architecting new use cases, and supporting deployment. They will also collaborate with internal teams to translate client feedback into product requirements and enable the partner ecosystem. The role requires extensive experience in solution architecture, field engineering, or technical presales/postsales, with hands-on Python 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. You educate clients on Cognite Data Fusion® and related offerings, leading to successful adoption, solution integration, and value realization.
  3. You act as a bridge between clients and Cognite’s Product organization, translating client feedback and needs into clear, actionable product requirements.
  4. You partner with field engineering and sales teams to provide technical support on client opportunities, including technical account strategy, solution architecture, and use-case development.
  5. You develop and promote best practices, frameworks, and reference architectures to strengthen Cognite’s position as a leader in client-focused industrial solutions.

Skills

Required

  • Python
  • software development best practices
  • client-facing skills
  • building trusted relationships
  • 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 (petroleum engineering, chemical engineering, mechanical engineering, control system engineering, process engineering, etc.)
  • 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.

Other signals

  • AI agents
  • industrial digitalization
  • data solutions
  • enterprise-wide adoption
  • customer value