Digital Twin Specialist | Construction

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Stradigi
Egypt, AR, United States
  • Production
  • FullTime
  • Applications have closed

Job Description Job Description: The Digital Twin Lead is responsible for designing, developing, and managing digital twin solutions that simulate real-world systems, assets, or processes in a virtual environment. This role bridges the gap between operational technology (OT) and information technology (IT) by integrating IoT, analytics, and 3D modeling to enable predictive insights, real-time monitoring, and optimized decision-making. The Digital Twin Lead works closely with engineering, data science, and operations teams to lead digital twin strategies from concept to deployment.

Key Responsibilities

  • Strategy & Leadership:

  • Define the digital twin architecture and roadmap aligned with enterprise goals.

  • Lead cross-functional teams through the design and implementation lifecycle.

  • Collaborate with business and technical stakeholders to identify use cases and opportunities.

  • Solution Development:

  • Develop and implement digital twin models for assets, systems, or processes.

  • Integrate IoT data streams, CAD/3D models, real-time telemetry, and analytics.

  • Use simulation and modeling techniques to represent real-world behavior digitally.

  • Integration & Data Management:

  • Integrate digital twins with IoT platforms, SCADA, ERP, PLM, and other enterprise systems.

  • Manage data flow, connectivity, and synchronization between physical and virtual entities.

  • Ensure data integrity, scalability, and compliance with data governance policies.

  • Monitoring & Optimization:

  • Enable real-time monitoring, diagnostics, and predictive analytics through digital twins.

  • Implement AI/ML models for anomaly detection, scenario simulation, and optimization.

  • Analyze KPIs and system behavior to recommend actionable improvements.

  • Innovation & R&D:

  • Stay current with advancements in digital twin technologies and best practices.

  • Evaluate and implement emerging platforms, tools, and methodologies.

Required Qualifications

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

  • 5 years of experience in digital transformation, IoT, or simulation-related roles.

  • Hands-on experience with digital twin platforms and tools.

  • Strong understanding of systems modeling, industrial IoT (IIoT), and real-time data systems.

  • Preferred certifications:

  • Digital Twin Consortium, Azure IoT certifications, or similar

  • Project management (PMP, Agile) or architecture certifications (TOGAF) are a plus

Desired Traits

  • Strong analytical and conceptual thinking.
  • Ability to simplify complex systems and communicate ideas effectively.
  • Collaborative leadership and cross-disciplinary coordination.
  • Innovation mindset with a passion for digital transformation.
  • Detail-oriented with a big-picture strategic approach.

Tools & Platforms

  • Digital Twin Platforms: Azure Digital Twins, Siemens NX, PTC ThingWorx, Ansys Twin Builder, GE Predix, Dassault Systèmes
  • IoT & Edge Platforms: Azure IoT Hub, AWS IoT, Google Cloud IoT Core
  • 3D Modeling & CAD: AutoCAD, SolidWorks, Unity, Unreal Engine
  • Simulation & Analytics: MATLAB/Simulink, AnyLogic, Python, R
  • Integration Tools: APIs, OPC UA, MQTT, REST, SCADA systems
  • Data Platforms: Azure Data Lake, Azure Synapse, Snowflake, Time Series Insights

Key Skills

  • Digital twin architecture and lifecycle management
  • IoT data integration and sensor networks
  • 3D modeling and simulation
  • Systems thinking and real-time analytics
  • Cloud infrastructure (Azure, AWS, GCP)
  • Data science and machine learning
  • Agile/DevOps methodologies
  • Cyber-physical system modeling
  • Predictive maintenance and operational efficiency
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