SAP Datasphere Architect / Data Migration Architect

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now. We are currently seeking a SAP Datasphere Architect / Data Migration Architect to join our team in Remote, Texas (US‑TX), United States (US). SAP Datasphere Architect SAP Data Migration Architect About the Role We are seeking a highly experienced and skilled SAP Data Migration Architect / Lead to spearhead our data migration workstream for a large‑scale, global SAP migration. The ideal candidate has over 10 years of experience in leading complex data migrations, with a strong focus on SAP transformations and demonstrable success in managing full project lifecycles. This role requires a leader with deep technical and functional knowledge of SAP data who can drive the migration strategy, execution, and quality assurance while collaborating with cross‑functional teams. Key Responsibilities Strategy and Planning: Serve as the single point of accountability for all data migration‑related decisions, strategy, and execution. Lead and define the overall data migration blueprint and strategy, ensuring it aligns with project timelines and business objectives. Develop and maintain comprehensive data migration plans, including detailed cutover runbooks, schedules, and rollback procedures. Execution and Oversight: Lead the end‑to‑end data migration lifecycle: extraction, cleansing, transformation, validation, loading, and reconciliation. Oversee data mapping from legacy systems to the new SAP S/4HANA and ECC environment for both master and transactional data. Manage and provide guidance to a team of data migration specialists, functional consultants, and technical resources. Data Quality and Governance: Establish and enforce robust data governance policies and standards throughout the migration process. Drive data cleansing, profiling, and quality assurance activities to ensure data integrity and accuracy. Design and implement automated data validation tools and scripts to accelerate reconciliation. Stakeholder Collaboration: Work closely with business data owners, functional leads, and technical teams to gather requirements and resolve data discrepancies. Partner with SAP Security and GRC teams to define access controls and monitor segregation of duties (SoD) related to migration activities. Engage with internal and external audit teams to ensure all migration processes are compliant with standards like SOX and ITGC. Risk and Issue Management: Proactively identify, manage, and mitigate risks associated with data migration and elevate issues to project leadership as needed. Document all migration processes, issues, and resolutions for future reference and knowledge transfer. Cutover Management: Lead cutover readiness reviews and rehearsals to ensure a smooth transition to the new system with minimal business disruption. Manage post‑go‑live hypercare activities to address any data‑related issues. Required Qualifications Experience: A minimum of 15 years of overall SAP experience, with at least 5 years of hands‑on experience in a leadership role on large‑scale SAP data migration projects. Technical Skills: Minimum 10+ years of expertise in SAP S/4HANA and ECC data structures and migration methodologies for both brownfield and greenfield implementations. Minimum 7‑8+ years of deep, hands‑on experience with SAP data migration tools, including Migration Cockpit, SAP Data Services (BODS), and LSMW. Strong proficiency in ETL processes, data warehousing, and advanced SQL querying. Minimum 7‑8+ years of familiarity with data governance and data quality tools; Syniti is a plus. Functional Knowledge: Minimum 10+ years of in‑depth understanding of SAP modules and their underlying data structures (e.g., Finance (FI/CO), Sales and Distribution (SD), Materials Management (MM), Production Planning (PP)). Minimum 7‑8+ years of experience with all stages of the data migration lifecycle, including blueprinting, testing, and validation. Leadership and Communication: Proven leadership ability to coordinate and influence cross‑functional teams and external partners. Excellent communication, presentation, and stakeholder management skills. Strong analytical, problem‑solving, and organizational skills with exceptional attention to detail. Education: A bachelor’s degree in computer science, Information Technology, Engineering, or a related field. SAP certifications are highly desirable. Minimum / Required Qualification 15+ years of SAP experience 10+ years of strong Data Migration experience 7+ years of Data structure and methodology experience 5+ years of ETL, Data warehousing, Data Governance and data quality experience Must reside in the US Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $128,858.00-$178,969.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally‑required benefits. NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. 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