Principal Data Architect

Marlborough MaNormallead

Data ArchitectData & AI

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Overview

Headquartered in Marlborough, Massachusetts, IPG Photonics employs over 4,800 people across more than 25 locations worldwide.

Technical Tools

Data ArchitectData & AI

Headquartered in Marlborough, Massachusetts, IPG Photonics employs over 4,800 people across more than 25 locations worldwide. As a pioneering developer and leading producer of fiber lasers and amplifiers, we are committed to applying light-based technologies in ways that improve life.

Our mission is to develop innovative laser solutions that make the world a better place. We are equally committed to building a strong, engaged workforce by attracting and retaining top talent and fostering a collaborative and inclusive environment that supports long-term growth and sustainability.

At IPG Photonics, employees can expect meaningful, challenging work, a supportive and team-oriented culture, and competitive benefits.

About the Role

~1 min read

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.

You’ll help shape how data flows across critical business systems, reducing complexity and enabling faster, more reliable insights across the organization.

The Principal Data Architect will define and drive the data architecture strategy across core enterprise systems—including ERP, MES, PLM, and other business-critical applications—while enabling a scalable data platform for analytics and AI. This role ensures consistent data models, seamless integration, and high data quality across operational and analytical environments.

Responsibilities

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Define end-to-end data architecture spanning ERP, MES, PLM, CRM, and other enterprise systems
Establish canonical data models and master data standards (e.g., product, customer, supplier, manufacturing data)
Design integration patterns across applications (APIs, event-driven, ETL/ELT, data virtualization)

Lead architecture for cross-system data flows (e.g., order-to-cash, procure-to-pay, manufacturing execution)
Standardize data exchange, synchronization, and lineage across platforms
Partner with application teams to reduce point-to-point integrations and data silos

Align operational data architecture with enterprise data platform (warehouse / lake house)
Enable high-quality, trusted data for reporting, analytics, and AI/ML use cases
Define patterns for real-time and batch data processing

Define and support Master Data Management (MDM) strategy across domains
Establish data governance, quality, and stewardship models
Ensure compliance with data security, privacy, and regulatory requirements

Act as a bridge between enterprise applications, data engineering, and business teams
Influence architecture decisions across IT and business domains
Provide technical leadership and mentorship to architects and engineers

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience)
10+ years in data architecture, data engineering, or enterprise architecture roles
Strong experience with Microsoft Dynamics 365 (ERP and CRM), including understanding of underlying data models (Finance & Operations, Sales, Customer Service, etc.)
Proven track record designing data architectures and integrations around D365, including data extraction, synchronization, and extension patterns
Deep expertise in data modeling (transactional and analytical), particularly across finance, customer, product, and order domains
Experience designing cross-system integrations using APIs, Dataverse, Azure Integration Services, or middleware platforms
Hands-on experience with Azure data ecosystem (e.g., Azure Data Factory, Synapse, Fabric, Data Lake)
Strong understanding of data lifecycle management, data quality, and governance practices
Ability to influence across business and IT stakeholders without direct authority

Nice to Have

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Experience integrating D365 with MES, PLM, or other enterprise/manufacturing systems
Familiarity with Dataverse, Dual-write, BYOD (Bring Your Own Database), and Common Data Model (CDM)
Experience with event-driven architectures (e.g., Azure Event Grid, Service Bus)
Knowledge of master data management (MDM) solutions and implementation
Experience supporting analytics and reporting layers (Power BI, Fabric, or similar) on top of D365 data
Background in manufacturing, supply chain, or industrial environments