Senior Data Architect - Microsoft Fabric

About The Team : The Data Platform team at NextDimension builds and maintains the governed data foundations that power our clients' go-to-market, commercial, and operational reporting. The team partners closely with client stakeholders, their internal platform and governance functions, business analysts, and cross-functional teams across Sales, Marketing, Supply Chain, and IT. Our work ensures that commercial data CRM, point-of-sale, retailer, and inventory is accurate, consistent, secure, and actionable across every region a client operates in. About The Role : As a Senior Data Architect, you will define and lead the architecture for a governed commercial data platform on Microsoft Fabric for a multi-region enterprise client. You will lead the build of a landing zone spanning multiple CRM instances, point-of-sale, retailer portal, and inventory sources from ingestion through conformed modeling, certified semantic models, and governance handover. You will design the medallion architecture, establish system-of-record boundaries with the client's existing ERP/EDW systems, and lead data-quality and governance initiatives across customer, product, and geography dimensions. We're looking for people who combine strong technical expertise in enterprise data architecture with hands-on experience delivering complex Fabric or lakehouse environments. You should be comfortable working across architecture, data modeling, integration design, governance, and client leadership. Job Requirements : - Have deep expertise in enterprise data architecture, data engineering, or a related technical discipline, with hands-on Microsoft Fabric (or Synapse/Databricks) experience. - Have strong experience with Salesforce data architecture and CRM data models (leads, contacts, accounts, opportunities). - Have successfully designed or migrated large, multi-source, multi-region commercial or CRM datasets. - Understand master data management, conformed dimensional modeling, metadata management, lineage, and governance. - Have advanced SQL and hands-on Power BI semantic modeling, DAX, and RLS design. - Understand lakehouse architectures, cloud data warehouses, APIs, and data pipeline/integration platforms. - Have experience defining data-quality rules, reconciliation processes, and measurable service levels. - Can translate ambiguous business requirements into a scalable, phased delivery plan. - Have experience integrating POS, retailer/EDI, or inventory data alongside CRM data. - Have led cross-functional data modernization or platform-build programs, ideally in a client-facing context.