Cognite Academy Engineer

Cognite•Phoenix, AZ

About The Position

Cognite Academy enables customers, partners, and internal teams to build the product knowledge and practical skills needed to adopt, implement, and scale Cognite solutions. The Academy Engineer combines technical expertise, instructional thinking, content creation, and training delivery to turn complex Cognite technology and real-world implementation practices into engaging, practical, and scalable learning experiences. The role works closely with Product, Engineering, Professional Services, Customer Success, and other subject matter experts to identify learning gaps and develop courses, hands-on exercises, labs, demonstrations, and instructor-led programs. The Academy Engineer helps shape the curriculum and how learners demonstrate their ability to apply what they have learned, while continuing to build expertise in Cognite products and emerging technologies. The position includes developing digital and instructor-led learning experiences for audiences ranging from beginners to experienced technical professionals, supporting customer and partner implementation and adoption, and improving Academy content and programs over time. Training is delivered virtually and in person, with international or regional travel expected up to approximately 25% of the time.

Requirements

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 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 and enthusiasm to learn new technologies quickly and become a credible technical subject matter expert.
Experience delivering technical training, workshops, bootcamps, demonstrations, or technical presentations to professional audiences.
Excellent verbal and written communication skills.
Ability to explain complex technical concepts clearly to audiences with different levels of technical expertise.
Experience creating technical learning content, documentation, tutorials, labs, or other educational materials.
Understanding of instructional design principles and adult learning methodologies.
Learner-first approach focused on whether people can apply what they have learned.
Technical curiosity and enthusiasm for learning new products and emerging technologies.
Strong ownership of the quality and outcomes of work.
Practical problem-solving orientation and interest in creating hands-on learning experiences.
Collaborative approach with subject matter experts and stakeholders across Product, Engineering, Professional Services, Customer Success, and Academy.
Creativity and adaptability in experimenting with tools, AI technologies, and approaches to make learning faster, better, and more scalable.
Customer-focused approach to helping customers and partners use Cognite technology successfully and realize value.

Nice To Haves

Experience with Cognite Data Fusion; experience with similar industrial data platforms or DataOps environments is also considered.
Experience with learning management systems and digital authoring tools.
Familiarity with Skilljar, Articulate Rise, Articulate Storyline, Synthesia, or similar platforms.

Responsibilities

Develop deep expertise in Cognite Data Fusion and relevant products across the Cognite portfolio.
Serve as a technical subject matter expert and ensure training reflects current product capabilities, implementation practices, and industry use cases.
Collaborate with Product Managers, Engineers, Professional Services, Solutions Architects, and other subject matter experts to understand product functionality and implementation requirements.
Identify customer, partner, and internal knowledge gaps and translate them into learning requirements.
Recommend courses, learning paths, hands-on labs, and advanced technical training for the Academy curriculum roadmap.
Validate and refresh learning content as products, technologies, and best practices evolve.
Design and develop technical training for audiences from beginners to experienced technical professionals.
Create e-learning courses, instructor-led training, demonstrations, hands-on exercises and labs, assessments, workshops, bootcamps, technical documentation, and job aids.
Translate complex technical concepts into clear, structured, learner-friendly content while maintaining technical depth.
Apply instructional design and adult learning principles to develop practical, engaging learning experiences with measurable outcomes.
Develop realistic hands-on exercises and contribute to standardized content processes, templates, quality standards, and design systems.
Create digital learning assets such as videos, demonstrations, animations, and interactive activities using learning and content-authoring technologies.
Experiment with AI-powered content development tools and emerging learning technologies to improve content development speed, quality, and scalability.
Help improve the learner experience across the LMS and other learning platforms, ensuring digital content is accurate, engaging, accessible, and aligned with Academy standards.
Deliver instructor-led training to customers, partners, and employees through virtual and in-person formats, including foundational and advanced programs.
Adapt training delivery to learners’ technical backgrounds, roles, industries, and learning objectives; facilitate discussions, demonstrations, exercises, workshops, and troubleshooting sessions.
Create an environment in which participants feel comfortable asking questions and practicing concepts hands-on.
Collect and analyze learner feedback to improve course content and delivery.
Travel internationally or within the region for training events, expected to be approximately up to 25% of the time.
Develop training that supports successful Cognite implementations and adoption, accounting for technical personas and real-world industrial environments.
Work with Professional Services and Customer Success to address recurring customer and partner capability gaps through scalable Academy programs.
Contribute to certification and skills-based learning programs where appropriate.
Collaborate across Academy and other functions, participate in content planning, reviews, and quality assurance, and relay customer and learner feedback to Product and Academy teams.
Evaluate and improve the effectiveness, scalability, and efficiency of Academy learning programs.
Monitor emerging technologies in AI, data engineering, DataOps, and industrial data platforms and assess their relevance to the learning portfolio.