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SAP Data Migration Lead/Architect

Pubblicato il 10-08-2026 - Ntt Data Europe & Latam in Ro

Who We Are

We drive innovation – from advisory and implementation to managed services and beyond, powered by a global team of over 18,500 experts representing over 90 nations in more than 30 countries. With SAP at our core and a powerful ecosystem of partners like Microsoft and ServiceNow, we continuously improve solutions and AI-driven technology to make them work for companies – and for their people.

As part of NTT DATA, a $30+ billion business and technology services, AI and digital infrastructure leader. As a Global Top Employer, NTT DATA serves 75% of the Fortune Global 100 and, with experts in over 70 countries, co-innovates solutions that encourage experimentation and recognize great work. With us, you have endless opportunities to think big, act bold and take ownership. Make this the place where you belong, learn, and build your network.

We are looking for a Data Migration Lead to join our team.

What You'll Be Doing

Define and own the end-to-end data migration strategy in collaboration with solution architects.
Plan, coordinate,



and execute all data migration activities throughout the project lifecycle.
Lead technical and functional teams in the extraction, transformation, and loading (ETL) process.
Establish data quality objectives and validation criteria in alignment with business requirements.
Oversee delivery using LSMW, BAPIs, IDocs, SAP Data Services, and SAP Migration Cockpit tools.
Ensure data traceability and integrity through all test phases (Mock Loads, Dry Run, Cut-over).
Identify risks proactively and propose mitigation plans to avoid migration-related issues.
Collaborate with internal stakeholders (IT, business, management) and external partners.
Actively participate in project governance, status reporting, and data quality workshops.

What You'll Bring Along

Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification.
Minimum 5-10 years of SAP experience, including at least 3 years as a Data Mi

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