Job Description
- Position: Integration Engineer/Analyst, Business Systems (IT Architect)Location: Remote (UST/MST Preferred)Duration: 12 Monthsnbsp;Job Description:The Supply Chain Operations Business Systems team defines and builds the IT architecture that powers client#39;s supply chain, manufacturing, and commercial operations. We sit at the intersection of finance, supply chain, and enterprise IT mdash; delivering world-class capabilities through precise architecture, deep technical expertise, and a relentless focus on operational excellence.nbsp;In this fully remote contingent worker engagement, you will partner closely with the Senior Manager, Supply Chain amp; SCO Systems, and serve as a key technical contributor within the SCO AI Center of Excellence. You will architect and own the integration fabric connecting client#39;s enterprise ecosystem mdash; from SAP and Blue Yonder to Windchill PLM and Snowflake mdash; enabling the data flows that drive intelligent, automated supply chain operations.nbsp;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 mdash; 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 mdash; from PLM change orders through supply planning execution mdash; and promoting the use of shared, reusable services across the SCO AI portfolio.
- Support AI-enabled workflows by ensuring reliable, high-quality data pi
- Required:
- Bachelor#39;s or Master#39;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.
- Preferred:
- 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
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