Integration Engineer/ Business Systems Analyst – Supply Chain Operations

KellyOCG is focused on defining and building the IT architecture that powers Solidigm's supply chain and operations. The Integration Engineer/ Business Systems Analyst will lead integration processes, collaborate with various stakeholders, and develop scalable technical solutions to enhance operational efficiency.

Responsibilities:

• Lead the design, development, deployment, and maintenance of integration processes between cloud and on-premise applications, leveraging Microsoft Azure-native integration services and data integration technologies including Azure Data Factory, Azure Synapse Analytics, Snowflake Cortex, and Apache Spark/Beam
• Own and drive end-to-end systems integration projects, collaborating across Supply Chain, Planning, BE Manufacturing, Engineering, IT, and third-party technology partners
• Partner with business and IT stakeholders to deeply understand operational requirements, translating complex supply chain and manufacturing workflows into elegant, scalable technical solutions built on Microsoft and Azure tooling
• Establish and maintain high standards for integration development — encompassing technical design, solution architecture, error handling, audit management, logging, test documentation, and issue resolution
• Develop clean, maintainable, and reusable integration code that sets a high quality bar across the team and accelerates delivery of future use cases
• Architect and build solutions that deliver measurable business value by automating end-to-end processes — from PLM change orders through supply planning execution — and promoting the use of shared, reusable services across the SCO AI portfolio
• Support AI-enabled workflows by ensuring reliable, high-quality data pipelines that feed forecasting agents, compliance tools, and operational dashboards

Requirements:

• 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, and Python
• Proven experience building and maintaining enterprise system integrations across platforms such as SAP ERP, Blue Yonder (MPS/WMS), Windchill PLM, Salesforce, and Workday
• Strong foundation in API design (REST/SOAP), data modeling, and enterprise integration patterns
• Familiarity with Microsoft Power Platform (Power Automate, Power BI) and Microsoft Fabric as complementary integration and analytics tools
• Ability to work independently in a remote, distributed environment with minimal oversight, delivering high-quality results within defined project timelines
• Microsoft Azure certifications (e.g., Azure Data Engineer, Azure Integration Services, or Azure Solutions Architect)
• Experience with Snowflake Cortex AI or other AI/ML-integrated data platforms
• Familiarity with semiconductor or high-tech manufacturing supply chain processes, including NPI, Planning BOM management, or demand forecasting workflows
• Experience working in a COE or platform engineering model, building shared integration services for cross-functional teams
• Exposure to AI agent frameworks or LLM-integrated workflow automation