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IT Architect

Cloud EngineerCloud EngineerOtherRemoteTeam 11-50Since 2006H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

14 days ago

Salary

Not specified

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This is a remote position. It is a Remote Job, US based. PST / MST time zone preferred.

Your primary mission is to architect, build, and own the integration fabric that connects the enterprise ecosystem. This ecosystem spans SAP, Blue Yonder, Windchill PLM, Snowflake, and additional core operational platforms. Through your work, you will enable data connectivity, orchestration, and system intelligence required to power AI‑driven, highly automated supply chain operations. This role is ideal for a seasoned technologist with deep experience in enterprise integration patterns, complex supply chain data flows, and hands‑on architecture of large‑scale operational systems.

Key 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.

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.

Requirements

  • 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.

Job 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.

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