Join Capgemini Engineering as an IIoT Solution Architect specializing in the Cognite Data Platform for the Process Industry. This role is ideal for experienced professionals seeking to drive digital transformation in Energy, Utilities, and Industrial sectors. You will be instrumental in developing and implementing cutting-edge industrial IoT solutions and operational data platforms, enhancing asset performance and sustainability.

We offer a dynamic environment where your career can flourish, supported by a global community and opportunities to innovate. Empowering our employees with flexibility, including hybrid work options and adaptable schedules, is key to fostering a healthy work-life balance.

Architect, design, and implement robust Industrial Data Platforms utilizing Cognite Data Fusion (CDF). Develop solutions for critical areas such as asset monitoring, predictive maintenance, digital twins, and operational intelligence. Integrate Operational Technology (OT) systems like SCADA and PLCs with enterprise platforms and cloud ecosystems. Define comprehensive data models, metadata frameworks, and industrial data governance standards. Spearhead Energy Transition use cases, focusing on renewable assets, grid modernization, and emissions monitoring.

Establish industry best practices for industrial data architecture, cybersecurity, and high-availability solution design. Drive adoption of advanced data-driven asset optimization strategies across client organizations.

A minimum of 12 to 18 years of experience in Industrial Digitalization, Industrial IoT (IIoT), OT/IT Architecture, Data Platforms, or Industrial Analytics is essential. Significant hands-on experience with Cognite Data Fusion (CDF) or similar industrial data platforms is required.

Deep understanding of Energy & Utility operations is crucial, encompassing Power Generation, Transmission & Distribution, Renewable Energy, Oil & Gas, or Energy Transition sectors. Proven experience with SCADA, DCS, PLCs, Data Historians, and Industrial IoT platforms is expected. Strong knowledge of cloud platforms like Azure and AWS, alongside expertise in data engineering, analytics, AI/ML, and enterprise integration architectures, is necessary.

Proficiency in industrial communication standards, OT/IT convergence, data governance, cybersecurity, and Industry 4.0 frameworks is vital. Experience in developing enterprise-scale industrial data architectures and operational intelligence platforms is highly valued. Excellent consulting, stakeholder management, communication, and solution leadership capabilities are fundamental. Cognite, Cloud Platform, Industrial IoT, Data Engineering, or Industry 4.0 certifications are advantageous.