You will own the manufacturing data architecture and MES integration strategy that connects automated production equipment to enterprise systems across all contract manufacturer sites. You design and deploy the data infrastructure layer that enables every automated station to generate, transmit, and store production data in a standardized format. You configure and integrate MES platforms with automation equipment (PLCs, robots, vision systems, sensors), define recipe management structures for multi-platform production, and establish industrial communication protocols (OPC-UA, MQTT, EtherNet/IP) as the standard data transport layer. You build production data pipelines that feed traceability systems, SPC monitoring, and process drift detection, providing the engineering team with real-time visibility into automation performance. You define data schemas and integration standards that ensure manufacturing data is consistent across all contract manufacturers, enabling the team to compare, benchmark, and optimize automation across sites. You also own the integration of manufacturing production data with SAP systems, ensuring automated assembly data (production orders, material consumption, yield, and traceability records) flows into the enterprise ERP layer for planning, costing, and compliance. The scope covers all server and rack assembly across all architectures and platforms, including compute, AI/ML accelerators, storage, and networking. The team designs intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting, turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount. This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25-30% travel anticipated). Key job responsibilities • Own the MES integration architecture: defining how automation equipment (PLCs, robots, vision, sensors) 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 (torque, inspection result, cycle time) 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 BASIC QUALIFICATIONS - Experience building data products incrementally and integrating and managing data sets from multiple sources - Bachelor's/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) PREFERRED QUALIFICATIONS - Experience with AWS data and IoT services (e.g., IoT Core, Greengrass, Kinesis, Glue, S3, Timestream) - MES recipe management and work order configuration experience for multi-platform production lines - Experience with time-series databases and streaming data architectures for manufacturing - Knowledge of statistical methods for manufacturing quality (e.g., SPC, Cpk, process capability analysis) - Electronics, server, or precision hardware manufacturing environment - Experience standardizing data systems across multiple contract manufacturer sites with different MES platforms - Experience with SCADA/historian systems (e.g., Ignition, OSIsoft PI, Wonderware) - Experience with SAP integration technologies (e.g., SAP Plant Connectivity (PCo), SAP MII, RFC/BAPI interfaces, IDocs, or SAP S/4HANA Manufacturing) The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 177,800.00 - 240,500.00 USD annually