Job Description – IIoT Solution Architect (Cognite Data Platform) – Process Industry (Energy Transition & Utilities)
Experience: 18–22 Years
Industry: Energy Transition, Utilities, Power, Oil & Gas, Renewables
Role Summary
We are seeking an experienced IIoT Solution Architect with expertise in Cognite Data Fusion (CDF) and industrial data platforms to lead large-scale digital transformation programs across Energy & Utility organizations. The ideal candidate will have deep experience in Industrial IoT, OT/IT convergence, operational data management, asset performance optimization, and enterprise-scale data architectures.
Key Responsibilities

Lead architecture and implementation of Industrial Data Platforms using Cognite Data Fusion (CDF).
Design solutions for asset monitoring, predictive maintenance, digital twins, operational intelligence, and sustainability initiatives.
Integrate OT systems (SCADA, DCS, PLCs, Historians) with enterprise platforms (ERP, EAM, GIS, Data Lakes, Cloud).
Define enterprise data models, contextualization strategies,



and industrial data governance frameworks.
Drive Energy Transition use cases including renewable asset management, grid modernization, reliability, and operational efficiency.
Lead cloud, edge, and enterprise integration architecture discussions.
Collaborate with Operations, Engineering, Maintenance, and IT stakeholders.
Provide technical leadership, solution governance, and mentoring across transformation programs.

Required Skills

18–22 years of experience in Industrial Digitalization, IIoT, OT/IT Architecture, or Data & Analytics.
Robust hands-on experience with Cognite Data Fusion (CDF) or similar industrial data platforms.
Deep understanding of Energy & Utility operations, including Power Generation, Transmission & Distribution, Renewables, or Oil & Gas.
Experience with SCADA, DCS, PLC, Data Historians, Industrial IoT, and Digital Twin solutions.
Knowledge of cloud platforms (Azure, AWS), data engineering, analytics, and

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