Senior Data Architect
First seen by Alion on Aug 31, 2026.
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.
Skills
Data Architect, Data Engineering, Microsoft Fabric, Azure Databricks, Synapse Analytics, Dimensional Modeling, Metadata, DAX Power BI, Power BI, Data Warehousing