MES Integration Architect for Smart Manufacturing

Amazon Web Services (AWS)

Austin (TX)

On-site

USD 178,000 - 241,000

Full time

2 days ago

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Job summary

Amazon.com Services LLC is seeking an experienced Manufacturing Data & MES Integration Engineer to own data architecture across contract manufacturers. You will design pipelines using OPC-UA, MQTT, and EtherNet/IP, configure MES platforms with production lines, and ensure data standards across sites for traceability and ERP/SAP integration.

The role covers server/rack assembly platforms, AI/ML accelerators, and requires travel to contract manufacturer sites up to 25–30%.

Qualifications

Bachelor's or Master's degree in Computer Science, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or equivalent.
7+ years in manufacturing data systems, MES integration, or industrial data engineering.
Experience configuring and integrating MES platforms (e.g., Camstar, AVEVA, Rockwell Plex, SAP ME, or equivalent) with production equipment.
Proficiency in industrial communication protocols (OPC-UA, MQTT, EtherNet/IP, PROFINET).
Experience building data pipelines from PLCs, robots, vision systems, and sensor networks into centralized data platforms.
Experience defining data standards and schemas for multi-site manufacturing environments.
Experience integrating manufacturing data with ERP/SAP systems (e.g., SAP PP, SAP QM, SAP MES, or SAP Plant Connectivity).

Responsibilities

Own the MES integration architecture: defining how automation equipment connects to MES and enterprise data systems at all contract manufacturer sites.
Design and deploy industrial data pipelines from production equipment to centralized data platforms using OPC-UA, MQTT, and EtherNet/IP protocols.
Configure MES platforms for automated production lines: recipe management, work order routing, process parameter tracking, and production event logging.
Define data schemas and standards that ensure manufacturing data consistency across all contract manufacturers and platforms.
Build production traceability systems linking every automated operation to the individual assembled unit.
Implement SPC monitoring and automated alerting for process drift detection across automated stations.
Define and deploy industrial communication protocol standards for the automation ecosystem.
Partner with Controls and Vision engineers to ensure all automation cells output data in the defined standard format.
Integrate manufacturing production data with SAP (production orders, material consumption, quality results, yield reporting) to enable enterprise-level planning, costing, and traceability.