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IIOT Solution Architect
Job in
Chicago, Cook County, Illinois, 60290, USA
Listed on 2026-01-01
Listing for:
TechDigital Group
Full Time
position Listed on 2026-01-01
Job specializations:
-
Engineering
Systems Engineer, Data Engineer -
IT/Tech
Systems Engineer, Data Engineer
Job Description & How to Apply Below
Pay Rate:
Not Specified
Job type: full time
Location:
Chicago, Remote is fine, IL
• 12 to 18 years' experience with factory devices, sensors and automation
• Experience of IOT (and IIOT) standards and protocols:
Device hardware and software integration using Edge Architectural standards and patterns.
• Experience in enterprise level MES/MOM software solutions, control systems, and state of the art industrial automation
• Experience in integrating/acquiring data from PLC interfaces and programs Siemens, Allen Bradley, Client, SiConnect, OSI-PI, etc
• Experience in configuring and run any SCADA systems:
Rockwell Software, Wonderware, Client, Siemens, etc.
• Experience in creating Plant Performance Modeling and Plant Reference modeling
• Good understanding of industrial assets, including:
Asset Life cycles, Asset Systems, Asset Components, Asset Service Levels, Asset Degradation, Asset Reliability, and Asset Intervention Prioritization
• Familiar with Industrial networking technologies, protocols, protection methodologies
• Good understanding of streaming data analytics, anomaly detection and predictive maintenance of Assets.
• Good understanding of cloud technologies data ingestion, storage and consumption
• Understands processes in Discrete Manufacturing, Aerospace, Automotive manufacturing and can suggest best-practices in Production, Quality, Supply-chain, Track-and-Trace, Maintenance etc
• Has demonstrated capabilities working with technologies like IIoT, AI, Big-data, Cloud etc to improve end-to-end operations from product development to manufacturing to service
Responsibility
• Leads design efforts related to data acquisition, wrangling, ingestion, pipelines and orchestration in support of analytics and machine learning model development
• Assesses client system and data architectures, high-level IT and application strategies, and data management practices to develop overarching project system and data context reference diagrams to support project objectives (current and future state)
• Applies knowledge of sensing technology, edge and gateway computers, servers, network architecture, cloud computing, and software application development to design and implement high-value, client-based digital solutions to improve customer outcomes.
• Delivers project description, requirements, design, and implementation specifications and plans as well as schedules, and is responsible (along with the team) for completing activities on-time, on-schedule, with agreed-upon quality targets and metrics.
• Independently handles requirement gathering, creating technical solution architecture, solution document development and can work with teams for solution delivery
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