Define and build IT architecture for supply chain, manufacturing, and commercial operations. Partner with Senior Manager to architect and own integration fabric connecting enterprise ecosystem. Develop clean, maintainable, and reusable integration code.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Payrate: $80.00 - $88.40/hr.
Summary:
The Supply Chain Operations Business Systems team defines and builds the IT architecture that powers Company's supply chain, manufacturing, and commercial operations. We sit at the intersection of finance, supply chain, and enterprise IT — delivering world-class capabilities through precise architecture, deep technical expertise, and a relentless focus on operational excellence.
In this fully remote contingent worker engagement, you will partner closely with the Senior Manager, Supply Chain & 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 Company's enterprise ecosystem — from SAP and Blue Yonder to Windchill PLM and Snowflake — enabling the data flows that drive intelligent, automated supply chain operations.
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.
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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, 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.
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Nice to Have:
- 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
Pay Transparency: The typical base pay for this role across the U.S. is: $80.00 - $88.40/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
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