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Principal Data Architect

IPG Photonics
USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 1 months ago
Microsoft Dynamics 365Dual-writeBYODKafkaMESPLM

Full Job Posting

About the Role

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.

What You’ll Do

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)

What You Bring

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

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

Nice to Have

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

Why This Role Matters

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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