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We are seeking a Principal Data Architect to lead the design of data architecture across our Microsoft Dynamics 365 ecosystem (ERP and CRM) and enterprise data platform. You will play a critical role in connecting core business systems with modern data platforms to enable scalable analytics, AI, and efficient business operations.
We are seeking a Principal Data Architect to lead the design of data architecture across our Microsoft Dynamics 365 ecosystem (ERP and CRM) and enterprise data platform. You will play a critical role in connecting core business systems with modern data platforms to enable scalable analytics, AI, and efficient business operations.
Design and lead data architecture for Microsoft Dynamics 365 (Finance & Operations, CRM)
Define integration patterns between D365 and enterprise systems (MES, PLM, etc.) using APIs, Dataverse, Dual-write, and Azure services
Develop scalable data models supporting finance, customer, product, and operational domains
Enable high-quality data for analytics, reporting, and AI/ML use cases
Partner with engineering and business teams to streamline data flows and reduce complexity
Establish best practices for data governance, quality, and lifecycle management
Guide adoption of modern Azure data platforms (e.g., Data Factory, Synapse, Fabric)
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience)
10+ years of experience in data architecture or data engineering
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Hands-on experience with Microsoft Dynamics 365 (ERP and/or CRM)
Strong understanding of Dataverse, Dual-write, BYOD, and D365 data structures
Experience with Azure data and integration services
Expertise in data modeling and enterprise data integration
Ability to work across teams and influence technical direction
Experience integrating D365 with MES, PLM, or manufacturing systems
Familiarity with event-driven architectures (Service Bus, Event Grid, Kafka)
Experience with Power BI, Fabric, or modern analytics platforms
You’ll help shape how data flows across critical business systems, reducing complexity and enabling faster, more reliable insights across the organization.
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