Data Architect

Job Title: Data Architect Company: JODAYN SAP Module: SAP BASIS Roles & Responsibilities: * Develop and maintain the enterprise data architecture in alignment with business strategy and enterprise architecture direction. * Assess the current data landscape, including data sources, data stores, applications, interfaces, ownership, duplication, and quality issues. * Define target-state data architecture and transition roadmaps that support enterprise transformation initiatives. * Establish enterprise data domains and define relationships between domains, business capabilities, applications, and data owners. * Develop conceptual, logical, and high-level physical data models where required. * Define master data, reference data, transactional data, analytical data, and metadata architecture. * Identify and document authoritative data sources and Systems of Record. * Design data lineage, data flow, and information exchange models across business and technology environments. * Define application-to-data relationships, CRUD responsibilities, and data ownership dependencies. * Design enterprise data integration and data-sharing patterns, including APIs, batch integration, event-driven exchange, and data pipelines. * Support architecture for data warehouses, data lakes, lakehouses, analytics platforms, and business intelligence environments. * Define data architecture principles, standards, patterns, and reference architectures. * Align data architecture with data governance, data quality, metadata management, privacy, security, and retention requirements. * Support Master Data Management and Reference Data Management initiatives. * Collaborate with business, data governance, application, integration, security, cloud, and infrastructure teams. * Participate in architecture governance and solution design reviews to ensure compliance with enterprise data architecture. * Support technology and platform evaluations related to databases, data integration, analytics, metadata, MDM, and data management platforms. * Identify data-related risks, gaps, dependencies, duplication, ownership issues, and improvement opportunities. * 1-3 years of experience in data management, data engineering, database design, analytics, information architecture, or related disciplines. * 1-3 years of experience in Data Architecture or a comparable senior data design role. * Demonstrated experience developing enterprise data models, data domains, lineage, and target-state data architecture. * Experience with enterprise-scale transformation, data modernization, digital transformation, or data governance initiatives. * Strong experience working across multiple applications, databases, data platforms, and integration technologies. * Experience working with business stakeholders, data owners, data stewards, technology teams, and senior management. * Enterprise Data Architecture * Conceptual and logical data modeling * Data domain modeling * Master and reference data architecture * Data lineage and information flow modeling * Metadata architecture and data catalog concepts * Data integration and interoperability * Data governance and data ownership alignment * Data quality architecture * Data warehouse, data lake, and lakehouse architecture * Analytics and business intelligence architecture * Database and data platform architecture * Architecture governance and assurance * Stakeholder management and consulting * DAMA-DMBOK * TOGAF * ArchiMate * UML * Entity Relationship Modeling * Data Vault, dimensional modeling, or equivalent data modeling approaches where relevant * Data governance and metadata management practices * Cloud data architecture frameworks and well-architected principles * Strong analytical and structured thinking. * Ability to understand complex enterprise data environments and translate them into clear architecture models. * Strong communication, facilitation, and stakeholder management skills. * Ability to engage with both business and technical stakeholders. * High attention to quality, consistency, and architectural accuracy. * Consulting mindset with the ability to work across multiple projects and domains. Work Location: الرياض, S01, Saudi Arabia Availability: Full time

Requirements Required Experience Preferred Qualifications & Certifications * Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering, Computer Engineering, or a related discipline. * CDMP certification is highly desirable. * TOGAF or ArchiMate certification is desirable. * Cloud data, database, data engineering, or data governance certifications are advantageous. Key Skills: SAP BASIS Salary: Not disclosed