Senior Data Architect

CV’s that match the JD will be entertained Only Data Architect Location : Onsite – Riyadh Role Duration – Long Term ==================================================================================================================== Role Overview ============= The expert will define the enterprise\-wide data architecture for a complex, multi\-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.Key Responsibilities ==================== * Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points. * Define enterprise data architecture principles, standards and the target\-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement. * Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains. * Define data\-domain boundaries, data\-product interfaces and interoperability standards for a federated, multi\-entity environment. * Establish architecture patterns for APIs, event\-driven integration, batch exchange and secure data sharing across internal and external ecosystems. * Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls. * Align the data architecture with business capabilities, application architecture, technology strategy and enterprise\-wide transformation priorities. * Define data architecture governance, decision rights, design\-review gates, reusable patterns and exception\-management processes. * Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap. * Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders. Required Experience and Qualifications ====================================== * 15\+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large\-scale data transformation. * Proven experience defining enterprise\-wide data architecture for a large, complex organization, conglomerate, public\-sector ecosystem or other multi\-entity environment. * Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. * Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. * Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy\-by\-design principles. * Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. * Ability to connect data architecture decisions to business outcomes, operating\-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders 8hClB9Kwo7