IT Manufacturing Systems Architect / MES Integration Lead
Fremont, United States
We design, build, and run modern data platforms and AI-native systems that drive productivity, efficiency, and quality — while enabling businesses to move faster and adapt to change.
Job Description
Overview
The ideal candidate willhave strong experience with Manufacturing Execution Systems (MES),manufacturing analytics, Overall Equipment Effectiveness (OEE), factoryautomation, industrial controls, and manufacturing data platforms. The rolewill help establish scalable solutions for production visibility, producttraceability, quality management, equipment performance, and operationalexcellence across manufacturing environments.
Responsibilities
- Define themanufacturing systems and IT architecture supporting production, quality,maintenance, traceability, and supply chain operations.
- Lead MESstrategy, implementation, integration, enhancement, and manufacturingsystems standardization initiatives.
- Partner withmanufacturing, engineering, quality, operations, supply chain, and ITteams to translate business requirements into scalable technologysolutions.
- Establishmanufacturing data standards, governance, master data, and integration patternsacross production systems.
- Design andsupport manufacturing data warehouse and analytics initiatives.
- Enableend-to-end product and component traceability across materials, processes,equipment, operators, test results, and finished products.
- Supportquality systems and analytics, including nonconformance, defects, rework,root-cause analysis, and process capability.
- IntegrateMES and manufacturing systems with ERP, PLM, QMS, WMS, TMS, datawarehouses, and enterprise analytics platforms.
- Evaluate andintegrate factory automation technologies, including SCADA, PLCs,robotics, industrial equipment, sensors, and IIoT platforms.
- Definereal-time and batch data integration solutions between shop-floor systemsand enterprise applications.
- Supporttechnology roadmaps for manufacturing facilities, production lines, andenterprise manufacturing standardization efforts.
- Establishcommon manufacturing processes, data models, interfaces, and reportingstandards across manufacturing environments.
- Lead vendorevaluations, solution design, implementation planning, testing,deployment, and production support.
- Ensuremanufacturing systems meet requirements for cybersecurity, availability,scalability, auditability, and regulatory compliance.
- Developproject plans, architecture documentation, data flow diagrams, integrationspecifications, and operational procedures.
- Drivecontinuous improvement through automation, digitization, analytics, andstandardization of manufacturing processes.
Required Qualifications
- Bachelor'sdegree in Information Technology, Computer Science, Engineering,Manufacturing Engineering, or a related field.
- 10+ years ofexperience in Manufacturing IT, MES, industrial systems, systemsintegration, or a related discipline.
- Strongunderstanding of manufacturing analytics and OEE metrics, includingavailability, performance, quality, downtime, yield, and utilization.
- Experiencedesigning or implementing manufacturing data warehouses, data lakes,operational data stores, or analytics platforms.
- Experienceintegrating MES with ERP, PLM, QMS, WMS, and enterprise data platforms.
- Knowledge ofmanufacturing data models, ISA-95 concepts, equipment hierarchies,production orders, routings, work instructions, genealogy, andtraceability.
- Experiencewith data integration technologies, APIs, event-driven integration,ETL/ELT, SQL, and industrial data protocols.
- Strongcommunication, stakeholder management, analytical, and problem-solvingskills.
Preferred Qualifications
- Experiencewith OPC UA, MQTT, Modbus, REST APIs, message brokers, or similarindustrial integration technologies.
- Knowledge ofmanufacturing quality standards, statistical process control, processcapability, and corrective action processes.
- Experiencewith cloud platforms such as Microsoft Azure, AWS, or Oracle Cloud.
- Experiencewith Power BI, Tableau, Snowflake, Databricks, Microsoft Fabric, orsimilar analytics and data platforms.
- Familiaritywith cybersecurity standards and practices for operational technology andindustrial control systems.
- Projectmanagement experience, including working with system integrators andtechnology vendors.