Data Solutions Architect

ClientOur client is a large international manufacturing company listed in the S&P 500 and operating within a complex, multi‑site global environment. As part of a Data Strategy Development initiative, the organization is working to define a clear, pragmatic, and scalable data strategy aimed at improving decision‑making, reducing manual processes, strengthening data ownership, and laying a solid foundation for future analytics and digital transformation. The engagement is currently focused on strategy definition and is expected to progress into platform and analytics implementation phases.Position overviewThe Data Solutions Architect leads the definition of the future-state data and analytics architecture as part of the overall data strategy. The role is responsible for designing the end-to-end architectural blueprint, ensuring alignment between business objectives, governance requirements, and technology capabilities.This position operates at a strategic and conceptual level, defining logical architecture, integration patterns, and platform standards centered on Microsoft Azure and Snowflake, without committing to physical implementation during the strategy phase.ResponsibilitiesAssess the current-state technology and data landscape across enterprise, manufacturing, logistics, and analytics systemsDefine the future-state data and analytics architecture aligned with business and governance objectivesDesign logical data integration and data flow models for a complex, multi-site environmentDefine target BI and analytics architecture supporting enterprise reporting and advanced analyticsEstablish data models, security principles, and platform standards for a scalable and governed data ecosystemDevelop a phased data platform evolution roadmap with a focus on Azure and SnowflakeProvide architectural inputs into the Data Governance Framework and operating modelContribute architecture sections to the Data Strategy ReportDefine logical data sourcing and integration approaches for enterprise systems without physical implementation commitmentsRequirementsStrong experience in enterprise data and analytics architectureProven expertise with Microsoft Azure and SnowflakeExperience designing future-state architectures in complex, global environmentsSolid understanding of data governance, security, and analytics enablementAbility to operate at strategy and blueprint level while grounding decisions in practical feasibilityExperience working with senior stakeholders in high-visibility initiativesNice to haveExperience with manufacturing, logistics, or industrial enterprise environmentsFamiliarity with SAP ECC / SAP BW, SAP C4C, ERP and operational systemsExperience with BI and analytics platforms such as Power BI, Qlik Sense, AlteryxBackground in data strategy or large-scale transformation programs