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Cognite - AI for Industry

Senior Academy Engineer

India (Bengaluru); India (Bengaluru)India
Senior · Value Delivery
POSTED 5 OCTVERIFIED 1D AGO
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Role
35 days opentrue age
Posted 5 Oct
Pay
₹40.9L–₹65.4Lno pay posted
Market p25–p75
₹40.9L–₹65.4L
Bengaluru · n=4 · 365d to 4 Nov
CompanyCognite - AI for Industry →
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17,007open · Senior Software engineering
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PythonAzureSQL

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

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.

The Impact you bring to Cognite

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.

Source · Cognite - AI for IndustryFirst seen 4 NovOriginal ↗