SAP Technical Architect

Key Responsibilities • Design the end-to-end technical architecture, landscape strategy, and migration roadmaps for the SAP ECC carve-out. • Lead the scoping, blueprinting, and technical execution of the data separation using SNP transformation tools. • Configure and manage SNP software to perform data analysis, system profiling, and object-based data slicing. • Establish robust technical cutover plans, detailing step-by-step technical activities, downtime windows, and fallback procedures. • Architect the target SAP architecture, including server sizing, integration points, user access controls, and transport management setups. • Collaborate with functional consultants to validate that company code specific configuration, master data, and transactional data are correctly isolated. • Identify, mitigate, and resolve complex technical risks, performance bottlenecks, and data inconsistencies during dry runs and the final cutover. • Provide technical governance and quality assurance across the entire infrastructure, archiving, and basis workstreams. Required Skills and Qualifications • Minimum of 10 years of experience in SAP Technical Architecture and Basis, with a proven track record in SAP ECC environments. • Demonstrable, hands-on experience executing SAP system carve-outs, company code splits, or divestitures. • Mandatory expertise using SNP transformation software (e.g., SNP Crystal Bridge, Transformation Backbone) for data-driven split scenarios. • Deep technical understanding of SAP data structures, table relationships, and standard organizational units within ECC. • Extensive experience in SAP landscape design, system copying, client deletion, and data archiving strategies. • Strong knowledge of SAP interface technologies including ALE, IDoc, RFC, and third-party middleware integration. • Excellent English communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical business leaders. • Strong analytical and problem-solving capabilities, with a rigorous approach to data validation and testing.