Digital Twin Solution Architect

About Bristlecone

Bristlecone is a leading supply chain and business analytics advisor, serving global hubs across multiple industries. Rated by Gartner among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems.

We are a trusted partner to global icons including Applied Materials, Exxon Mobil, Unilever, and Nestle. Join us to build the high-performance systems that keep the world moving.

Role Summary

This is a remote-first position with a significant international travel requirement. You should expect to travel between 50–60% of the time to support our global operations in countries including France, China, Germany, India, Morocco, the UK, Tunisia, and the USA, depending on project needs.

We are seeking an experienced Solution Architect to lead the end-to-end architecture and successful rollout of enterprise-grade Digital Twin solutions. You will be responsible for designing scalable, high-performance digital twin architectures that integrate physical assets, real-time data streams, simulation models, analytics, and enterprise systems to deliver measurable business outcomes such as predictive maintenance, operational optimization, and reduced downtime.

This is a senior technical role that combines deep architecture expertise with strong leadership in large-scale digital twin implementations (including platforms like ScaleTwin, ScaleOut Digital Twins, Azure Digital Twins, Siemens, or custom solutions).

Key Responsibilities

* Lead the solution architecture for Digital Twin rollouts, including high-level and detailed design of twin models, data architecture, integration patterns, and deployment strategy.

* Define end-to-end architecture covering:

* Digital Twin model hierarchy and entity relationships

* Real-time data ingestion and synchronization from IoT, SCADA, historians, and edge devices

* State management, event processing, and simulation engines

* Integration with enterprise systems (ERP, MES, PLM, EAM)

* Analytics, and visualization layers

* Select and design the optimal technology stack for scalable digital twin deployments, including in-memory computing platforms (e.g., ScaleTwin/ScaleOut), cloud services (AWS, Azure), streaming platforms (Kafka, MQTT), and containerization (Kubernetes).

* Create architecture blueprints, diagrams, and documentation (including logical, physical, and deployment views) to guide implementation teams.

* Conduct architecture reviews, risk assessments, and performance/scalability evaluations for large-scale twin deployments handling millions of entities and high-velocity data.

* Collaborate with Configuration Leads, Consultants, Data Engineers, and Client Stakeholders to ensure the solution is configurable, maintainable, and aligned with business requirements.

* Define standards, best practices, and reusable reference architectures for future Digital Twin rollouts.

* Provide technical leadership during pilot phases, full-scale rollout, go-live, and hyper-care periods.

* Mentor configuration teams on digital twin architecture principles.

Required Qualifications & Experience

* 10+ years of overall IT/solution architecture experience, with at least 4–6 years in Digital Twin, IIoT, IoT platforms, or real-time simulation solutions.

* Proven track record in successfully architecting and rolling out large-scale Digital Twin solutions for manufacturing, logistics, energy, or asset-intensive industries.

* Strong expertise in:

* Digital Twin platforms and frameworks (ScaleTwin, ScaleOut Digital Twins, Azure Digital Twins, NVIDIA Omniverse, or equivalent)

* Real-time data architectures (Kafka, MQTT, OPC UA, Spark Streaming)

* Cloud platforms (AWS IoT, Azure IoT Hub, Google Cloud)

* In-memory computing, complex event processing, and stateful applications

* Microservices, containerization (Docker, Kubernetes), and DevOps practices

* Bachelor’s or Master’s degree in Computer Science, Electrical/Mechanical/Industrial Engineering, or related field.