Principal Data Architect: D365 & Enterprise Analytics Lead

IPG Photonics; Marlborough (MA); On-site; USD 170,000 - 210,000; Full time

Job summary

IPG Photonics seeks a Principal Data Architect to lead data architecture across the Microsoft Dynamics 365 ecosystem and the enterprise data platform. You will connect core business systems to scalable analytics, AI, and efficient operations, shaping data flows and governance across ERP, MES, PLM, CRM, and beyond.

The role requires hands-on leadership, deep D365 data model knowledge, and the ability to influence architecture decisions across IT and business teams.

Qualifications

• 10+ years in data architecture or enterprise architecture roles.
• Strong experience with Microsoft Dynamics 365 (ERP/CRM) data models.
• Expertise in transactional and analytical data modeling across domains.
• Experience designing cross-system integrations using APIs, Dataverse, or middleware.
• Deep understanding of data governance, quality, and lifecycle management.

Responsibilities

• Define end-to-end data architecture spanning ERP, MES, PLM, CRM, and other systems.
• Lead data integration patterns and reduce point‑to‑point integrations and silos.
• Align operational data architecture with the enterprise data platform (warehouse/lakehouse).
• Establish Master Data Management and governance across domains.

Skills

D365 Data Modeling

Data Architecture

Azure Data Services

API & Integration

MDM & Governance

Data Modeling

Leadership & Collaboration

Education

Bachelor's degree in Computer Science/IS/Engineering

Tools

Azure Data Factory

Azure Synapse

Azure Fabric

Dataverse

Power BI

Data Lake

APIs

Job description

IPG Photonics seeks a Principal Data Architect to lead data architecture across the Microsoft Dynamics 365 ecosystem and the enterprise data platform. You will connect core business systems to scalable analytics, AI, and efficient operations, shaping data flows and governance across ERP, MES, PLM, CRM, and beyond.

The role requires hands-on leadership, deep D365 data model knowledge, and the ability to influence architecture decisions across IT and business teams.