Integration Engineer/Analyst

JOB SUMMARY

The Integration Engineer/ Analyst will serve as a key technical contributor within the Supply Chain Operations (SCO) AI Center of Excellence, supporting enterprise systems that power supply chain, manufacturing, and commercial operations. In this fully remote role, the candidate will partner with the Senior Manager of Supply Chain & SCO Systems to design and manage the integration architecture connecting platforms such as SAP, Blue Yonder, Windchill PLM, and Snowflake. The position focuses on building scalable integration solutions, enabling reliable data pipelines, and supporting AI-enabled supply chain automation through modern Microsoft Azure technologies. Key Responsibilities Lead the design, development, deployment, and maintenance of integration processes between cloud and on-premise applications using Microsoft Azure-native services. Develop and manage data integration pipelines using technologies such as Azure Data Factory, Azure Synapse Analytics, Snowflake Cortex, and Apache Spark or Beam. Own end-to-end enterprise systems integration projects across supply chain, planning, manufacturing, engineering, and IT teams. Collaborate with business and IT stakeholders to translate supply chain and manufacturing workflows into scalable technical solutions. Establish and maintain best practices for integration architecture including logging, monitoring, error handling, audit management, and testing documentation. Develop high-quality, reusable integration code that improves system scalability and accelerates delivery of future use cases. Architect solutions that automate supply chain processes such as PLM change orders, planning execution, and operational workflows. Ensure reliable data pipelines that support AI-enabled forecasting tools, compliance solutions, and operational dashboards. Promote reusable integration services and support the development of shared capabilities within the SCO AI portfolio. Required Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field, or equivalent practical experience. Strong hands-on experience with Microsoft Azure integration and data services including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Logic Apps, and Azure Service Bus. Experience designing and building data pipelines using ETL/ELT tools such as Azure Data Factory, Snowflake, Airflow, or Python. Proven experience building and maintaining enterprise integrations across platforms such as SAP ERP, Blue Yonder, Windchill PLM, Salesforce, or Workday. Strong understanding of API design including REST and SOAP services. Experience with enterprise data modeling and integration patterns. Familiarity with Microsoft Power Platform tools such as Power Automate and Power BI. Ability to work independently in a remote and distributed environment while managing project timelines and deliverables. Preferred Qualifications Microsoft Azure certifications such as Azure Data Engineer, Azure Integration Services, or Azure Solutions Architect. Experience with Snowflake Cortex AI or similar AI/ML-integrated data platforms. Familiarity with semiconductor or high-tech manufacturing supply chain processes. Experience working in a Center of Excellence (COE) or platform engineering model. Exposure to AI agent frameworks or LLM-integrated workflow automation. Certifications Microsoft Azure certifications such as Azure Data Engineer, Azure Integration Services, or Azure Solutions Architect (preferred).