Cognite Academy Engineer

Cognite - AI for Industry•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 needs and develop courses, hands-on exercises, labs, demonstrations, and instructor-led programs. The Academy Engineer helps shape the curriculum, teaching methods, and ways learners demonstrate their ability to apply what they have learned. The position includes developing expertise in Cognite Data Fusion and related products; contributing to the Academy curriculum roadmap; creating and maintaining digital and instructor-led learning assets; delivering technical training to customers, partners, and internal employees; and improving learning programs based on feedback and changing product capabilities. Travel for training events is expected to be approximately up to 25% of the time, internationally or within the region.

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 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 and enthusiasm to learn new technologies quickly and become a credible technical subject matter expert.
Experience delivering technical training, workshops, bootcamps, demonstrations, or 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 and focus on whether learners can apply what they have learned.
Technical curiosity and willingness to learn new products and emerging technologies.
Strong ownership of work quality and outcomes.
Practical problem-solving approach focused on real-world application and hands-on learning.
Ability to collaborate with subject matter experts and stakeholders across multiple functions.
Adaptability and willingness to experiment with tools, AI technologies, and new approaches to improve learning.
Customer-focused approach to helping customers and partners use Cognite technology and realize value.

Nice To Haves

Experience with Cognite Data Fusion; experience with similar industrial data platforms or DataOps environments will also be 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 for the Academy team and ensure training reflects current product capabilities, implementation practices, and industry use cases.
Partner with Product Managers, Engineers, Professional Services, Solutions Architects, and other subject matter experts to understand product functionality and implementation requirements.
Identify knowledge and skills gaps among customers, partners, and internal teams, and translate them into learning requirements.
Contribute recommendations for courses, learning paths, hands-on labs, and advanced technical training to the Academy curriculum roadmap.
Validate and refresh existing learning content as products, technologies, and best practices evolve.
Design and develop technical training for audiences ranging from beginners to experienced technical professionals.
Create self-paced e-learning courses, instructor-led training, demonstrations, exercises, labs, assessments, workshops, bootcamps, 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 create practical learning experiences focused on measurable outcomes.
Design realistic hands-on exercises that let learners practice skills rather than simply consume information.
Contribute to Academy content-development processes, templates, quality standards, and design systems.
Use learning and content-authoring technologies to create digital learning experiences, including video-based learning, demonstrations, animations, and interactive activities.
Experiment with AI-powered content-development tools and emerging learning technologies to improve the speed, quality, and scalability of content development.
Help 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 employees in virtual and in-person formats.
Facilitate foundational and advanced training programs, including CDF Fundamentals and multi-day CDF Delivery Bootcamps.
Adapt training delivery to learners' technical backgrounds, roles, industries, and learning objectives.
Facilitate technical discussions, demonstrations, exercises, workshops, and troubleshooting sessions, creating an environment that encourages questions and hands-on application.
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 approximately up to 25% of the time.
Develop training that supports successful Cognite implementations and adoption in real-world industrial environments.
Partner with Professional Services and Customer Success to identify recurring capability gaps that can be addressed 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 learning content with product development.
Participate in content planning, reviews, and quality assurance activities, and share feedback from customers and training participants with product and Academy teams.
Evaluate Academy programs and identify ways to improve their effectiveness, scalability, and efficiency.
Stay current with emerging AI, data engineering, DataOps, and industrial data platform technologies and assess their relevance to the learning portfolio.