Senior Data Architect

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.