Principal Data Architect

Seeking a Principal Data Architect to define enterprise data architecture strategies, integrate ERP, MES, PLM, and CRM systems, and develop scalable data platforms supporting analytics, artificial intelligence, and enterprise data governance.

Job Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline.

• 10+ years of experience in data architecture, data engineering, or enterprise architecture.

• Extensive experience with Microsoft Dynamics 365 (D365) ERP and CRM platforms, including Finance & Operations, Sales, and Customer Service.

• Experience designing data architectures and integrations involving Microsoft Dynamics 365, including data extraction, synchronization, and extension patterns.

• Advanced knowledge of transactional and analytical data modeling across finance, customer, product, supplier, and order management domains.

• Experience designing enterprise system integrations using APIs, Dataverse, Azure Integration Services, or middleware platforms.

• Hands-on experience with Microsoft Azure data technologies, including Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.

• Knowledge of enterprise data integration patterns, including ETL/ELT, event-driven architecture, and data virtualization.

• Experience with data lifecycle management, data quality frameworks, and enterprise data governance practices.

• Knowledge of data security, privacy, and regulatory compliance requirements.

Preferred Skills

• Experience integrating Microsoft Dynamics 365 with Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and other enterprise manufacturing applications.

• Familiarity with Microsoft Dataverse, Dual-write, Bring Your Own Database (BYOD), and Common Data Model (CDM).

• Experience designing event-driven integrations using Azure Event Grid and Azure Service Bus.

• Knowledge of Master Data Management (MDM) solutions, architecture, and implementation.

• Experience developing analytics and reporting architectures using Power BI, Microsoft Fabric, or similar platforms.

• Background in manufacturing, supply chain, or industrial environments.

• Experience designing enterprise data warehouses, data lakes, and lakehouse architectures.

• Knowledge of real-time and batch data processing technologies.

• Experience with canonical data models, data lineage, metadata management, and data stewardship frameworks.

Job Responsibilities

• Define and implement enterprise data architecture strategies across ERP, MES, PLM, CRM, and other business-critical applications.

• Design end-to-end data architectures integrating operational systems with enterprise analytics and AI platforms.

• Establish canonical data models and master data standards for product, customer, supplier, manufacturing, finance, and order data.

• Develop data integration architectures using APIs, event-driven messaging, ETL/ELT pipelines, and data virtualization technologies.

• Design and maintain data extraction, synchronization, and integration patterns for Microsoft Dynamics 365 applications.

• Architect cross-system data flows supporting order-to-cash, procure-to-pay, manufacturing execution, and other enterprise business processes.

• Standardize data exchange, synchronization, transformation, and lineage across enterprise applications.

• Reduce point-to-point system integrations and eliminate data silos through standardized integration frameworks.

• Design scalable data architectures utilizing Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Azure Data Lake.

• Align operational data architectures with enterprise data warehouses, data lakes, and lakehouse platforms.

• Define data processing patterns supporting real-time streaming, batch processing, reporting, analytics, and AI/ML applications.

• Establish and maintain Master Data Management (MDM) strategies across enterprise data domains.

• Develop data governance frameworks covering data quality, stewardship, ownership, metadata, and lifecycle management.

• Implement data architecture standards supporting data accuracy, consistency, accessibility, and traceability.

• Ensure enterprise data solutions comply with applicable security, privacy, and regulatory requirements.

• Support integration of manufacturing, supply chain, and enterprise systems with centralized data platforms.

• Provide technical architecture guidance for enterprise data integration, analytics modernization, and digital transformation initiatives.

• Evaluate existing data architectures and identify opportunities for performance optimization, scalability, and system interoperability.

• Develop and maintain enterprise data architecture documentation, integration standards, and technical design specifications.

Pay: 140k-150k/hr

Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client.

Pay Details: $140,000.00 to $150,000.00 per year

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

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• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

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