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.