IT Architect (Supply Chain Operations)

PLEASE NOTE:

• It is a 100% Remote position.
  

JOB DESCRIPTION:

• The Supply Chain Operations Business Systems team defines and builds the IT architecture that powers Client'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 Client'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.
  

Requirements

REQUIRED SKILLS:

• 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 modelling, 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.
  

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.