Enterprise / Principal Field Engineer

Cognite Cognite · Industrial · France +3 · Global Revenue

This role is for an Enterprise Field Engineer focused on the technical relationship with clients, scaling AI and data solutions in the industrial sector. Responsibilities include validating technology fit, architecting new use cases, supporting deployment, enabling partners, and providing feedback to product teams. The role requires strong client-facing skills, Python expertise, and understanding of 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

  • Solution architecture
  • Field engineering
  • Technical presales/postsales
  • Enterprise SaaS
  • Cloud platforms
  • Industrial software
  • Python
  • Software development best practices
  • Client-facing skills
  • Industrial data
  • OT/IT convergence
  • Data integration patterns
  • Scalable architectures
  • Data platforms
  • APIs
  • Integration methods
  • Data pipelines
  • Data storage
  • Data security
  • Data 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 Azure, AWS, GCP services and architectures
  • 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.