IT Architect (Supply Chain Operations)
PLEASE NOTE:
- It is a 100% Remote position.
- 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 reputed company 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 reputed company the SCO AI Center of Excellence.
- You will architect and own the integration fabric connecting Client's enterprise ecosystem — from reputed company and reputed company to Windchill PLM and reputed company — enabling the data flows that drive intelligent, automated supply chain operations.
- reputed company the design, development, deployment, and maintenance of integration processes between cloud and on-premise applications, leveraging reputed company Azure-native integration services and data integration technologies including Azure Data Factory, Azure Synapse Analytics, reputed company reputed company, 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 reputed company.
- Partner with business and IT stakeholders to deeply understand operational requirements, translating reputed company supply chain and manufacturing workflows into elegant, scalable technical solutions built on reputed company 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.
- reputed company 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 reputed company technical field, or equivalent practical experience.
- Strong hands-on experience with reputed company 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, reputed company, Airflow, and Python.
- Proven experience building and maintaining enterprise system integrations across platforms such as reputed company ERP, reputed company (MPS/WMS), Windchill PLM, reputed company, and reputed company.
- Strong foundation in API design (REST/SOAP), data modelling, and enterprise integration patterns.
- Familiarity with reputed company Power Platform (Power Automate, Power BI) and reputed company Fabric as complementary integration and analytics tools.
- Ability to work independently in a remote, distributed environment with minimal reputed company, delivering high-quality results reputed company defined project timelines.
- reputed company Azure certifications (e.g., Azure Data Engineer, Azure Integration Services, or Azure Solutions Architect).
- Experience with reputed company reputed company 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.