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Cognite

Industrial data platform with AI

Cognite Academy Engineer

Customer Education & TrainingUpdated on Nov 14
Full-timePhoenix, AZ, USA

About the Job

Requirements

  • A bachelor's, master's, or PhD in Computer Science, Data Science, Engineering, or a related technical discipline.
  • At least 5 years of professional experience in a technical role such as Data Engineer, Data Scientist, Software Engineer, Solutions Architect, or Technical Consultant.
  • Strong hands-on experience with Python and SQL.
  • Experience working with data platforms, DataOps technologies, cloud platforms, or industrial data environments.
  • Experience with Microsoft Azure and Azure Active Directory.
  • Strong understanding of data engineering, data modeling, APIs, and cloud-based data platforms.
  • Ability to quickly learn new technologies and become a credible technical subject matter expert.
  • Experience delivering technical training, workshops, bootcamps, demonstrations, or technical presentations to professional audiences.
  • Ability to explain complex technical concepts clearly to audiences with different levels of technical expertise.
  • Understanding of instructional design principles and adult learning methodologies.
  • Excellent verbal and written communication skills.
  • Ability to collaborate with subject matter experts and stakeholders across Product, Engineering, Professional Services, Customer Success, and Academy.

Responsibilities

  • Develop deep expertise in Cognite Data Fusion and the broader Cognite product portfolio relevant to Academy training.
  • Serve as a technical subject matter expert within the Academy team, ensuring training content reflects current product capabilities, implementation practices, and industry use cases.
  • Partner with Product Managers, Engineers, Professional Services, Solutions Architects, and other internal subject matter experts to understand product functionality, upcoming capabilities, and real-world implementation requirements.
  • Identify knowledge and skills gaps across customers, partners, and internal teams and translate them into actionable learning requirements.
  • Contribute to the Academy curriculum roadmap by recommending new courses, learning paths, hands-on labs, and advanced technical training.
  • Continuously validate and refresh existing content as Cognite products, technologies, and best practices evolve.
  • Design and develop technical training for audiences ranging from beginners to experienced data engineers, data scientists, solution architects, and implementation professionals.
  • Create self-paced e-learning courses, instructor-led training, technical demonstrations, hands-on exercises and labs, assessments and quizzes, workshops and bootcamps, technical documentation, and job aids.
  • Translate complex technical concepts into clear, structured, learner-friendly content while preserving technical depth.
  • Apply instructional design and adult learning principles to create practical, engaging learning experiences focused on measurable outcomes.
  • Design hands-on exercises that allow learners to practice skills in realistic scenarios.
  • Contribute to standardized Academy content development processes, templates, quality standards, and design systems.
  • Use modern learning and content-authoring technologies to create digital learning experiences.
  • Develop video-based learning, demonstrations, animations, interactive activities, and other digital learning assets using tools such as Synthesia, Articulate Rise, and other Academy technologies.
  • Experiment with AI-powered content development tools and emerging learning technologies to improve the speed, quality, and scalability of Academy content development.
  • Work with the Academy team to improve the learner experience across the learning management system and other learning platforms.
  • Ensure digital learning content is technically accurate, visually engaging, accessible, and aligned with Academy standards.
  • Deliver instructor-led training to customers, partners, and internal employees through virtual and in-person formats.
  • Facilitate training programs ranging from foundational courses such as CDF Fundamentals to advanced technical programs such as multi-day CDF Delivery Bootcamps.
  • Adapt delivery style and depth based on the audience's technical background, role, industry, and learning objectives.
  • Facilitate technical discussions, demonstrations, exercises, workshops, and troubleshooting sessions.
  • Create a learning environment where participants feel comfortable asking questions and applying concepts hands-on.
  • Collect and analyze learner feedback and use it to improve course content and delivery.
  • Travel internationally or within the region for customer, partner, and internal training events, expected to be up to 25% of the time.
  • Develop training that supports successful Cognite implementations and adoption.
  • Understand technical personas in the Cognite ecosystem, including data engineers, data scientists, solution architects, developers, and other implementation professionals.
  • Ensure training prepares learners to understand Cognite products and apply them successfully in real-world industrial environments.
  • Partner with Professional Services and Customer Success teams to identify recurring customer and partner capability gaps addressable through scalable Academy programs.
  • Contribute to certification and skills-based learning programs where appropriate.
  • Collaborate across Academy, Product, Engineering, Professional Services, Customer Success, and other functions to align product development and learning content.
  • Participate in Academy content planning, reviews, and quality assurance activities.
  • Bring feedback from customers and training participants back into the product and Academy organizations.
  • Evaluate what is working and identify opportunities to improve the effectiveness, scalability, and efficiency of Academy learning programs.
  • Stay current with emerging technologies in AI, data engineering, DataOps, and industrial data platforms and assess their relevance to Cognite's learning portfolio.

Desired Qualifications

  • Experience with Cognite Data Fusion or similar industrial data platforms or DataOps environments.
  • Experience creating technical learning content, documentation, tutorials, labs, or other educational materials.
  • Experience with learning management systems and digital authoring tools.
  • Familiarity with Skilljar, Articulate Rise, Articulate Storyline, Synthesia, or similar platforms.

About the Company

Cognite

Industrial data platform with AI

Cognite provides cloud-based data and AI platforms for industrial companies to digitize and optimize operations. Its flagship Cognite Data Fusion connects OT, IT, and engineering data, unifying sensor data, maintenance logs, and 3D models into a real-time view of assets to improve performance and safety. Cognite Atlas AI is a low-code platform that lets engineers build AI agents for predictive maintenance, anomaly detection, and production optimization without deep coding. The company differentiates itself through deep cross-domain data integration for asset-heavy industries and a scalable cloud environment to accelerate industrial digitalization and deliver measurable value.

Company size
501-1,000
Company stage
Acquired
Total funding
$225.3M
Headquarters
Tempe, AZ
Founded
2016

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