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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director, SAP S4 HANA Master Data Governance Solution Architect - **Company:** Deloitte - **Location:** Edinburgh, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Data Cleansing, Data Governance, Data Migration, Data Transformation Services, IDoc, SAP (Applications), SAP HANA, SAP Project System, Service-Oriented Architecture, Web Services, SAP BAPI, SAPBasis, SAP S/4HANA, Integration Frameworks, SAP MDG, Data Management, Data Objects - **Published:** August 19, 2026 - **Apply:** https://apply.deloitte.co.uk/UKCareers/Login?jobId=23524 ## About the Role The SAP MDG Architect is a critical leadership role demanding a balanced blend of technical expertise and strategic thinking. This role is responsible for the end-to-end lifecycle of SAP MDG and data migration solutions, including design, development, and implementation, ensuring alignment with organizational data governance principles and objectives. Deep knowledge of SAP S/4 HANA Data Migration, MDG modules, technical architecture, and data governance best practices is crucial, including knowledge of the benefits of implementing MDG alongside greenfield, brownfield and selective transformations to SAP S/4HANA. Additionally, the SAP MDG Architect must possess a strong understanding of data migration strategies and methodologies, specifically in the context of SAP S/4HANA transitions. This includes expertise in data cleansing, transformation, validation, and the technical tools involved in migrating data to SAP S/4HANA. This role requires guiding cross functional teams, ensuring successful project delivery and high-quality outcomes. Expertise in Customer, Vendor, Material, and Finance master data domains and deeper understanding of SAP S/4 HANA data model is essential for success., * Proven hands-on experience in SAP Data Migration MDG pre-sales, implementation, and architecture. * Deep expertise in SAP MDG and data migration modules across all S4 HANA DATA objects, specifically Material, Customer, Vendor, or Financials. * Strong understanding of data modelling concepts, data governance principles, and best practices. * Proven proficiency in SAP integration techniques, including IDOC, SOA, RFC, APIs, and DRF. * Strong functional understanding of master data, integration aspects across manufacturing, procurement, supply chain, finance and sales and asset and project management areas. * Demonstrated expertise in data migration strategies and methodologies, including data cleansing, transformation, and validation. * Expertise in MDG Consolidation and Mass Processing configurations. * Good understanding of Data Quality Management (DQM) principles and implementation strategies. * Ability to analyse complex business requirements and propose fit-to-standard solutions. * Excellent communication and interpersonal skills, with the ability to effectively engage with both business stakeholders and technical teams. Desirable Skills/Experience: * Understanding of AI data tools and a viewpoint on how they will impact SAP MDG implementations. * Proficiency in data migration tools and techniques within the SAP landscape like Syniti, SNP, SAP BODS, SAP Information Steward and any hyperscaler tools. * SAP MDG/Syniti/SNP Certifications * Data Modelling and Analytics SAC Certifications * Data Migration Cockpit experience ## Description Been part of large-scale SAP MDG and data migration projects, including global template deployments, across diverse industries and geographies. Leadership & Design: * Lead the design and architecture of SAP S/4 HANA MDG and Data Migration solutions, ensuring alignment with business needs, industry best practices, and technical standards. * Define data models, workflows, validation rules, and integration points to optimize master data management processes. * Provide technical leadership and guidance to project teams, including SAP MDG consultants, developers, and analysts. * Establish technical strategies, standards, and best practices for SAP MDG implementations. Collaboration & Requirements Gathering: * Collaborate closely with global business stakeholders to understand and analyse requirements related to master data management, data governance, and data quality. * Translate complex business requirements into clear technical specifications and architectural designs for SAP MDG and data migration solutions. Implementation & Integration: * Oversee and govern the configuration and customization of SAP MDG modules to meet specific business requirements, ensuring adherence to architectural principles and design guidelines. * Define and implement integration strategies between SAP MDG and other SAP/non-SAP systems (including ERP and BI) using appropriate technologies (e.g., IDoc, RFC, BAPI, Web services). Quality Assurance & Change Management: * Develop comprehensive testing strategies and oversee quality assurance activities for SAP MDG and data migration implementations. * Ensure solutions meet functional and non-functional requirements through rigorous testing and validation. * Facilitate change management processes to ensure smooth adoption of SAP MDG solutions, communicating changes, benefits, and impacts to stakeholders while effectively managing resistance. Knowledge Transfer & Documentation: * Provide training and knowledge transfer to end-users and IT teams on SAP MDG functionalities, best practices, and maintenance procedures, ensuring user proficiency and effective system maintenance. * Meticulously document architectural designs, configurations, customizations, and integration specifications for SAP MDG solutions. * Establish governance processes to ensure compliance with organizational policies and standards. ## Related Videos - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Replacing Excel with SAP APIs & Python validation](https://www.wearedevelopers.com/videos/1944-replacing-excel-with-sap-apis-python-validation) ## Related Articles - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)