> Markdown version of [/jobs/ext/4009668-principal-data-architect](https://www.wearedevelopers.com/jobs/ext/4009668-principal-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Data Architect - **Company:** Ascent, LLC - **Location:** Marlborough, MA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Data Hub, Extract Transform Load (ETL), Middleware, Microsoft Dynamics, Power BI, Systems Integration, Enterprise Software Applications, Azure Data Factory, Event Driven Architecture, Data Lakes, Microsoft Dynamics 365 Finance & Operations, Operational Systems - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/0d94cd40-e34d-4c36-ae2d-df524efa01e4/principal-data-architect ## About the Role * 10 years in data architecture, data engineering, or enterprise architecture * Strong Microsoft Dynamics 365 ERP/CRM experience * Experience with D365 integrations and data models * Strong Azure experience: Data Factory, Synapse, Fabric, Data Lake * Experience with Dataverse, APIs, middleware, and data modeling * Strong understanding of data governance and data quality Preferred * MES / PLM integration experience * Dual-write, BYOD, CDM * Azure Event Grid / Service Bus * Power BI / Fabric * Manufacturing or supply-chain experience ## Description Seeking a Principal Data Architect to lead data architecture across Microsoft Dynamics 365, enterprise applications, and Azure data platforms. This role will focus on data modeling, integration, governance, and analytics enablement across ERP, CRM, MES, and PLM systems. Responsibilities * Define enterprise data architecture across D365, ERP, CRM, MES, and PLM * Design data models and integration patterns using APIs, Dataverse, ETL/ELT, and event-driven architecture * Align operational systems with Azure data warehouse/lakehouse platforms * Support data quality, governance, MDM, lineage, analytics, and AI initiatives * Reduce data silos and point-to-point integrations * Partner with engineering, application, and business teams