Senior Academy Engineer

How you’ll demonstrate Ownership

We are looking for a highly experienced Senior Academy Engineer to build and scale Cognite’s technical learning portfolio. This is a senior individual contributor role focused on technical expertise, ownership, influence, and collaboration—not people management.

The role combines the expertise of a senior data engineer/data scientist, technical consultant, solutions architect, and educator. You will own one or more technical domains, become a trusted SME, and translate complex Cognite technologies and real-world implementation practices into practical, high-quality learning experiences.

Key Responsibilities

• Own technical domains: Build deep expertise in Cognite Data Fusion®, relevant technologies, architectures, and implementation practices; act as the technical SME and quality gate for your domain.
• Shape curriculum: Define technical skills and competencies, contribute to curriculum strategy, and develop courses, learning paths, bootcamps, labs, assessments, and certification-aligned experiences for different learner personas.
• Develop advanced content: Create self-paced courses, instructor-led training, bootcamps, hands-on labs, demos, troubleshooting scenarios, assessments, and real-world industrial use cases while maintaining strong technical and instructional quality.
• Collaborate with SMEs: Partner with Product, Engineering, Professional Services, Solutions Architecture, Customer Success, and other SMEs to translate technical knowledge into practical learning—not simply documentation.
• Deliver technical training: Lead customer, partner, and internal training, workshops, demonstrations, labs, and complex technical discussions; adapt delivery to learner needs and travel up to 25%.
• Build customer & partner capability: Identify technical capability gaps and recurring implementation challenges, incorporate real-world scenarios, enable partners to implement Cognite solutions effectively, and support certification and skills assessments.
• Drive learning innovation: Use modern tools such as Synthesia, Articulate Rise, and AI-powered technologies to create engaging, scalable content and automate development where possible.
• Raise Academy standards: Mentor other Academy engineers and content developers, contribute to standards and quality frameworks, peer-review complex content, and establish best practices for labs, assessments, demos, and instructor-led training.

Success in this role requires strong technical depth, customer orientation, communication, instructional capability, ownership, and the ability to simplify complex concepts while maintaining technical accuracy.

Senior-Level Leadership & Collaboration

• Ability to lead as a senior individual contributor through influence, not formal authority.

• Strong stakeholder management across Product, Engineering, Professional Services, Solutions Architecture, Customer Success, and Academy.

• Proven ability to independently identify problems, define solutions, and drive initiatives end-to-end.

• Comfortable working in a fast-changing environment.

• Experience mentoring colleagues or raising technical quality is highly desirable.

What Success Looks Like — First 12–18 Months

• Become a recognized technical authority within Academy for one or more Cognite technology domains.

• Own and improve key areas of the technical curriculum.

• Launch high-quality courses, labs, bootcamps, or learning paths addressing customer and partner capability gaps.

• Increase the technical depth and practical value of existing programs.

• Deliver consistently strong training to customers, partners, and internal teams.

• Build trusted relationships with Product, Engineering, Professional Services, and Solutions Architecture.

• Convert critical SME knowledge into scalable learning assets and reduce dependency on individual SMEs.

• Mentor Academy colleagues and raise the team’s technical quality bar.

• Use AI and modern learning technologies to improve content development speed and scalability.

• Demonstrate measurable impact on customer adoption, partner capability, implementation readiness, and time-to-value.

Technical Experience

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Engineering, or related field.

• 7+ years in Data Engineering, Data Science, Software Engineering, Solutions Architecture, Technical Consulting, or similar roles.

• Strong hands-on Python and SQL, with expertise in data engineering, data modeling, APIs, cloud platforms, and modern data architectures.

• Cognite Data Fusion® experience highly desirable; industrial data platforms, DataOps, or cloud data platforms also relevant.

• Experience with Microsoft Azure and Azure Active Directory.

• Ability to quickly learn complex technologies and become a credible technical authority.

• Customer, partner, or implementation experience highly desirable.