MES Integration Lead & Manufacturing Systems Architect

Dataflix; Iowa (LA); On-site; USD 140,000 - 190,000; Full time

Job summary

Dataflix is seeking an IT Manufacturing Systems Architect / MES Integration Lead in Fremont, USA. You will shape the architecture for production, quality, maintenance, traceability, and supply chain, leading MES strategy and integrations across enterprise systems.

The role requires deep MES experience, strong data analytics background, and the ability to drive standards across manufacturing environments. Collaboration with IT, operations, and engineering is essential.

Qualifications

• Bachelor's degree or higher in IT/Engineering or related field.
• 10+ years in Manufacturing IT, MES, or related disciplines.
• Strong knowledge of MES, ERP, QMS, and data platforms integration.
• Experience designing data models, ISA-95 concepts, and traceability.

Responsibilities

• Define manufacturing IT architecture for production, quality, maintenance, traceability, and supply chain.
• Lead MES strategy, integration, and standardization initiatives.
• Translate business requirements into scalable tech solutions with cross-functional teams.
• Establish data standards, governance, and integration patterns across systems.
• Design and support manufacturing data warehouse and analytics initiatives.
• Ensure cybersecurity, availability, and regulatory compliance for manufacturing systems.
• Lead vendor evaluations and implementation planning.

Skills

MES systems

Manufacturing analytics

OEE metrics

data integration

APIs / ETL

ISA-95 concepts

communication & stakeholder mgmt

cloud platforms (Azure/AWS)

Education

Bachelor's degree in IT/CS/Engineering

Tools

OPC UA

MQTT

Modbus

REST APIs

Power BI/Tableau

Snowflake/Databricks

Azure/AWS/OCI

Job description

Dataflix is seeking an IT Manufacturing Systems Architect / MES Integration Lead in Fremont, USA. You will shape the architecture for production, quality, maintenance, traceability, and supply chain, leading MES strategy and integrations across enterprise systems.

The role requires deep MES experience, strong data analytics background, and the ability to drive standards across manufacturing environments. Collaboration with IT, operations, and engineering is essential.