Principal Data Architect

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.

Requirements

• 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
• 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

Key Responsibilities

• Enterprise Data Architecture (ERP, MES, PLM)
• 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)
• Data Integration & Interoperability
• 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
• Data Platform & Analytics Enablement
• 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
• Master Data & Governance
• 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
• Leadership & Collaboration
• 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

Qualifications

• Preferred:
• 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