Manufacturing Systems Consultant

Job Description:

Required qualifications

• 7+ years of experience with engineering, supply chain operations and/or IT Supply Chain with extended knowledge of core manufacturing processes and plant floor equipment and operations
• Ability to articulate the benefit and structure of solutions while understanding the technical aspects of clients and project teams
• Significant project experience (10+ projects) and capability to specify Industrial Automation platforms (Programmable Logic Controllers (PLC), Distributed Control Systems (DCS), Supervisory Control and Data Acquisition (SCADA) and/or Process Historians (real-time database)
• Knowledge in Industrial sensor selection and specification
• Proficiency in Industrial Networks Communication media and protocols (Ethernet, RS232/485, Ethernet IP, ControlNet, DeviceNet, Modbus, BACnet, and Profibus
• Ability to configure, maintain and resolve centralized collection systems via high-level communication protocols (OPC-UA/DA, MQTT, et al)
• Bachelors Degree in Engineering-related discipline
• Ability to travel to client sites 80-100% of the time
• Limited immigration sponsorship may be available

Preferred qualifications

• Experience with prevalent programming languages (C, Java, SQL, Javascript, Python, Swift, PHP) in a software development environment as well as with evolving IIoT platforms (PTC Thingworx, SAP MII, Mindsphere)
• Desire to learn and use cloud platforms such as Amazon AWS and/or Microsoft Azure
• Experience with relational and non-relational databases (SQL Server, Cassandra, MongoDB, etc)
• Knowledge of enterprise-wide network architectures and design principles
• Ability to specify both Operational Technology (OT) and Information Technology (IT) infrastructures/equipment (Ethernet and Wireless)
• Detailed understanding of ISA-95 model of the interface between automation and enterprise systems along with basic knowledge of other relevant standards (ISA-88 and ISA-99)
• Fundamental awareness of common ERP/PLM platforms and data structures
• Intermediate level understanding of SDLC methodologies (Agile, SCRUM, RUP, other) with experience working within several teams and projects
• Established track record of working directly with clients and teams with the ability to capture ideas and knowledge that will lead to significant value realization
• Advanced Degree in Engineering-related discipline