
Strategic Manufacturing Systems Architect
1 week ago
This role is critical to establishing our delivery capacity and intellectual property within a new MES practice.
Responsibilities:- Solution Architecture:
- Define and own end-to-end MES architecture for greenfield and brownfield implementations.
- Create scalable, modular architectures aligned with ISA-95, ISA-88, and Industry 4.0 standards.
- Translate business and functional requirements into technical blueprints.
- Ensure MES solutions integrate seamlessly with ERP, SCADA, PLC, historians, and IIoT platforms.
- Pre-Sales & Proposal Support:
- Collaborate with the MES Practice Lead on RFPs, proposals, and client workshops.
- Create solution architectures, effort estimates, and delivery models for new pursuits.
- Support creation of reusable solution assets, demos, and accelerators.
- Project Delivery Support:
- Guide MES development teams during project implementation.
- Review functional and technical specifications for accuracy and completeness.
- Lead architecture reviews and technical troubleshooting in complex scenarios.
- Ensure quality, performance, and scalability standards are met.
- Collaboration & Innovation:
- Work closely with cross-functional teams including functional consultants, developers, and data engineers.
- Evaluate and recommend technology stacks, OEM platforms, and integration patterns.
- Contribute to internal capability building through mentoring, training, and knowledge sharing.
- Minimum Requirements:
- Experience in MES/PLM domain, with experience in a solution architecture role.
- Deep hands-on expertise in one or more MES platforms: GE Proficy (Plant Applications, Historian, Workflow), Rockwell FactoryTalk Production Centre, Siemens Opcenter (previously SIMATIC IT), Eyelit MES, Wonderware, AVEVA, SAP MII/SAP DM.
- Strong understanding of shop floor systems, manufacturing data models, and production operations (OEE, traceability, quality, scheduling).
- Proficient in integrating MES with PLCs, SCADA systems, and ERP (SAP/Oracle).
- Familiarity with standards like OPC, MQTT, REST APIs, SQL databases, and edge computing.
- Preferred Qualifications/ Skills:
- Exposure to regulated industries like pharmaceuticals, Aerospace, or automotive.
- Experience with MES in cloud/hybrid architectures (Azure, AWS).
- Understanding of digital twin, predictive maintenance, and IIoT analytics integration.
- Bachelor's degree in engineering, Computer Science, or related field.
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