{"schemaVersion":"jobsearcher.job.v1","id":"9d22db5dedbda3fc643bfe58","url":"https://jobsearcher.com/jobs/9d22db5dedbda3fc643bfe58","canonicalUrl":"https://jobsearcher.com/jobs/9d22db5dedbda3fc643bfe58","title":"Principal Integration & Data Platform Engineer","description":"Role Overview\nThe Principal Integration & Data Platform Engineer leads the design and evolution of the company’s enterprise integration and data platform.\nThis role operates at the intersection of enterprise applications, manufacturing systems, and analytics infrastructure. The position combines architecture, hands-on engineering, and technical leadership to ensure reliable data movement and system interoperability across the organization.\nThe Principal Engineer helps shape how information flows across the company — connecting ERP systems, SaaS platforms, manufacturing technologies, and analytics environments into a cohesive and reliable data ecosystem.\nThis role provides senior technical leadership and works closely with enterprise applications, manufacturing engineering, and analytics stakeholders to translate operational needs into scalable technical solutions.\nWhile this role influences technical direction and mentors engineers, people management and formal performance oversight remain with the Director of Enterprise Applications.\nMission\nDesign and operate the integration and data platform that connects enterprise applications, manufacturing systems, SaaS platforms, and analytics infrastructure across the company.\nThis platform enables operational automation, reliable data movement, and analytics capabilities that support business operations and decision-making.\nKey Responsibilities\nArchitecture & Technical Leadership\nProvide technical leadership for the company’s enterprise integration and data architecture.\nProvide technical leadership across integration and data platform initiatives\nDefine integration patterns and architectural approaches for cross-system data flows\nTranslate business and operational requirements into scalable technical designs\nEstablish development standards and integration best practices\nParticipate in platform and architecture decisions alongside IT leadership\nMentor and guide engineers through design reviews, code reviews, and complex troubleshooting\nEnterprise System Integration\nDesign and maintain integrations connecting core enterprise systems, including:\nDynamics 365 Finance & Operations\nTulip Manufacturing Software\neMaint CMMS\nEDI trading partners\nVarious SaaS platforms and operational systems\nIntegration solutions may involve APIs, event-driven messaging, data pipelines, and orchestration workflows.\nData Platform & Analytics Infrastructure\nLead development and evolution of the company’s analytics data platform.\nResponsibilities include:\nDevelopment of data pipelines supporting enterprise reporting\nArchitecture and implementation of Microsoft Fabric-based analytics pipelines\nIntegration with an existing SQL Server data warehouse and SSAS OLAP models\nSupporting Power BI semantic models and reporting infrastructure\nImproving reliability and maintainability of enterprise data pipelines\nManufacturing Data Integration\nCollaborate with manufacturing engineering teams to integrate operational data from production equipment and manufacturing systems.\nExamples include telemetry and operational data flowing from PLC environments through systems such as Kepware, Azure IoT Hub, Event Hub, Stream Analytics, and Fabric.\nEngineering teams manage the PLC layer; this role focuses on ingestion, orchestration, and integration with enterprise systems and analytics platforms.\nHands-On Engineering\nThis role is expected to remain highly hands-on and engaged in day-to-day engineering work, serving as a senior individual contributor.\nTypical work may include:\nBuilding integration services and orchestration workflows\nDeveloping event-driven integrations and messaging pipelines\nImplementing data ingestion and transformation pipelines\nTroubleshooting complex cross-system issues\nSupporting enterprise automation and operational data infrastructure\nPrimary technologies currently include:\nC# / .NET\nSQL Server\nAzure Function Apps\nLogic Apps\nAzure Service Bus and messaging services\nMicrosoft Fabric and Power BI\nWhile familiarity with these technologies is helpful, success in this role depends more on strong systems thinking and the ability to learn new technologies than prior experience with any specific tool in our stack.\nOperational Reliability\nEnsure enterprise integrations and data pipelines operate reliably.\nDiagnose and resolve cross-system issues and pipeline failures\nImprove monitoring, observability, and troubleshooting capabilities\nMaintain documentation and operational knowledge of integration systems\nMay require rare after-hours support for critical issues (no formal on-call rotation)\nRequired Qualifications\n8+ years of software engineering experience\nExperience designing or implementing enterprise integrations or distributed systems\nExperience working with data pipelines, analytics platforms, or integration architectures\nStrong programming and debugging skills in modern development environments\nExperience working with cloud-based systems and APIs\nDemonstrated ability to learn new technologies and adapt to evolving platforms\nExperience mentoring or providing technical leadership to other engineers\nPreferred Experience\nMicrosoft Azure services\nDynamics 365 Finance & Operations integration\nMicrosoft Fabric or modern analytics platforms\nPower BI data models and reporting infrastructure\nEvent-driven architectures or messaging systems\nIndustrial or manufacturing systems integration\nIoT or streaming data pipelines\nModernizing legacy applications\nWork Environment\nHybrid work environment available\nCollaboration with teams across IT, manufacturing engineering, and business operations\nMost work occurs during standard business hours with occasional after-hours support for critical production issues\nPay: $125,000.00 - $140,000.00 per year\nBenefits:\n401(k) matching\nDental insurance\nHealth insurance\nLife insurance\nPaid time off\nParental leave\nVision insurance\nApplication Question(s):\nWhich of the following have you worked with professionally?\nC# / .NET, SQL Server, Azure Function Apps, Logic Apps, Microsoft Fabric, Power BI, Dynamics 365 F&O, Azure Service Bus/Event Hub, Azure IoT Hub, Stream Analytics, Python, PySpark / Spark SQL\nHow have you provided technical leadership or mentorship to other engineers?\nDescribe a complex integration you designed or built between two or more enterprise systems, ideally involving cloud applications and services.\nDescribe a data lake, data pipeline, or analytics platform you helped design. What were the key architectural decisions you had to make, and what tradeoffs did you navigate?\nExperience:\nSoftware development: 5 years (Required)\nWork Location: Hybrid remote in Torrance, CA 90503","company":"Younger Optics","rawCompany":"younger optics","city":"Industry","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-20T11:59:51.083Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Principal Integration & Data Platform Engineer","description":"Role Overview\nThe Principal Integration & Data Platform Engineer leads the design and evolution of the company’s enterprise integration and data platform.\nThis role operates at the intersection of enterprise applications, manufacturing systems, and analytics infrastructure. The position combines architecture, hands-on engineering, and technical leadership to ensure reliable data movement and system interoperability across the organization.\nThe Principal Engineer helps shape how information flows across the company — connecting ERP systems, SaaS platforms, manufacturing technologies, and analytics environments into a cohesive and reliable data ecosystem.\nThis role provides senior technical leadership and works closely with enterprise applications, manufacturing engineering, and analytics stakeholders to translate operational needs into scalable technical solutions.\nWhile this role influences technical direction and mentors engineers, people management and formal performance oversight remain with the Director of Enterprise Applications.\nMission\nDesign and operate the integration and data platform that connects enterprise applications, manufacturing systems, SaaS platforms, and analytics infrastructure across the company.\nThis platform enables operational automation, reliable data movement, and analytics capabilities that support business operations and decision-making.\nKey Responsibilities\nArchitecture & Technical Leadership\nProvide technical leadership for the company’s enterprise integration and data architecture.\nProvide technical leadership across integration and data platform initiatives\nDefine integration patterns and architectural approaches for cross-system data flows\nTranslate business and operational requirements into scalable technical designs\nEstablish development standards and integration best practices\nParticipate in platform and architecture decisions alongside IT leadership\nMentor and guide engineers through design reviews, code reviews, and complex troubleshooting\nEnterprise System Integration\nDesign and maintain integrations connecting core enterprise systems, including:\nDynamics 365 Finance & Operations\nTulip Manufacturing Software\neMaint CMMS\nEDI trading partners\nVarious SaaS platforms and operational systems\nIntegration solutions may involve APIs, event-driven messaging, data pipelines, and orchestration workflows.\nData Platform & Analytics Infrastructure\nLead development and evolution of the company’s analytics data platform.\nResponsibilities include:\nDevelopment of data pipelines supporting enterprise reporting\nArchitecture and implementation of Microsoft Fabric-based analytics pipelines\nIntegration with an existing SQL Server data warehouse and SSAS OLAP models\nSupporting Power BI semantic models and reporting infrastructure\nImproving reliability and maintainability of enterprise data pipelines\nManufacturing Data Integration\nCollaborate with manufacturing engineering teams to integrate operational data from production equipment and manufacturing systems.\nExamples include telemetry and operational data flowing from PLC environments through systems such as Kepware, Azure IoT Hub, Event Hub, Stream Analytics, and Fabric.\nEngineering teams manage the PLC layer; this role focuses on ingestion, orchestration, and integration with enterprise systems and analytics platforms.\nHands-On Engineering\nThis role is expected to remain highly hands-on and engaged in day-to-day engineering work, serving as a senior individual contributor.\nTypical work may include:\nBuilding integration services and orchestration workflows\nDeveloping event-driven integrations and messaging pipelines\nImplementing data ingestion and transformation pipelines\nTroubleshooting complex cross-system issues\nSupporting enterprise automation and operational data infrastructure\nPrimary technologies currently include:\nC# / .NET\nSQL Server\nAzure Function Apps\nLogic Apps\nAzure Service Bus and messaging services\nMicrosoft Fabric and Power BI\nWhile familiarity with these technologies is helpful, success in this role depends more on strong systems thinking and the ability to learn new technologies than prior experience with any specific tool in our stack.\nOperational Reliability\nEnsure enterprise integrations and data pipelines operate reliably.\nDiagnose and resolve cross-system issues and pipeline failures\nImprove monitoring, observability, and troubleshooting capabilities\nMaintain documentation and operational knowledge of integration systems\nMay require rare after-hours support for critical issues (no formal on-call rotation)\nRequired Qualifications\n8+ years of software engineering experience\nExperience designing or implementing enterprise integrations or distributed systems\nExperience working with data pipelines, analytics platforms, or integration architectures\nStrong programming and debugging skills in modern development environments\nExperience working with cloud-based systems and APIs\nDemonstrated ability to learn new technologies and adapt to evolving platforms\nExperience mentoring or providing technical leadership to other engineers\nPreferred Experience\nMicrosoft Azure services\nDynamics 365 Finance & Operations integration\nMicrosoft Fabric or modern analytics platforms\nPower BI data models and reporting infrastructure\nEvent-driven architectures or messaging systems\nIndustrial or manufacturing systems integration\nIoT or streaming data pipelines\nModernizing legacy applications\nWork Environment\nHybrid work environment available\nCollaboration with teams across IT, manufacturing engineering, and business operations\nMost work occurs during standard business hours with occasional after-hours support for critical production issues\nPay: $125,000.00 - $140,000.00 per year\nBenefits:\n401(k) matching\nDental insurance\nHealth insurance\nLife insurance\nPaid time off\nParental leave\nVision insurance\nApplication Question(s):\nWhich of the following have you worked with professionally?\nC# / .NET, SQL Server, Azure Function Apps, Logic Apps, Microsoft Fabric, Power BI, Dynamics 365 F&O, Azure Service Bus/Event Hub, Azure IoT Hub, Stream Analytics, Python, PySpark / Spark SQL\nHow have you provided technical leadership or mentorship to other engineers?\nDescribe a complex integration you designed or built between two or more enterprise systems, ideally involving cloud applications and services.\nDescribe a data lake, data pipeline, or analytics platform you helped design. What were the key architectural decisions you had to make, and what tradeoffs did you navigate?\nExperience:\nSoftware development: 5 years (Required)\nWork Location: Hybrid remote in Torrance, CA 90503","datePosted":"2026-07-20T11:59:51.083Z","dateModified":"2026-07-20T11:59:51.083Z","hiringOrganization":{"@type":"Organization","name":"Younger Optics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Industry","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9d22db5dedbda3fc643bfe58"},"url":"https://jobsearcher.com/jobs/9d22db5dedbda3fc643bfe58"}}