Solution Architect - SAP S/4HANA Data Migration

As a Solution Architect - Data Lead, you will play a critical role in leading enterprise-wide data migration initiatives for global SAP transformation programs. You will lead the EDM (Enterprise Data Management) team across multiple regions including EMEA, North America, GAR, and LATAM, ensuring successful planning, execution, and delivery of data migration activities. This role involves collaborating with business stakeholders, SAP functional teams, and technical consultants to define data migration strategies, lead data discovery workshops, and deliver high-quality data solutions that support SAP ECC and SAP S/4HANA implementations.

Your Role Lead the EDM team and oversee global data migration activities across EMEA, North America, GAR, and LATAM regions. Develop and execute the overall data migration strategy, approach, and build estimates. Conduct data discovery workshops and gather migration requirements during the design phase. Plan, monitor, and report project progress while tracking and resolving migration-related defects. Lead data migration efforts from legacy applications and SAP ECC environments into SAP S/4HANA. Configure and utilize Syniti and SAP Data Services tools to support migration activities. Manage data extraction, transformation, loading, and validation processes. Perform pre-load and post-load data validation to ensure data quality and integrity. Create and distribute migration, reconciliation, and validation reports. Collaborate closely with client teams, business users, SAP functional consultants, and project stakeholders to ensure successful program delivery. Provide leadership, technical guidance, and best practices to the data migration team throughout the project lifecycle.

10+ years of experience in Data Migration, including SAP ECC and SAP S/4HANA transformation programs. Strong expertise in enterprise data migration strategy, planning, and execution. Experience leading global data migration teams across multiple geographies. Hands-on experience with Syniti as a data transformation and migration tool. Strong knowledge of SAP Data Services, including data transformations, job creation, scripting, and automation. Experience with SAP data loading tools such as LSMW, LTMC, and Direct Object Controls (DOCs). Proven ability to conduct data discovery workshops and gather business requirements. Experience migrating data from legacy systems into SAP environments. Expertise in data cleansing, transformation, validation, reconciliation, and reporting. Strong stakeholder management and client-facing communication skills. Experience managing defects, issue resolution, project tracking, and status reporting. Ability to work collaboratively with business users, SAP functional consultants, and technical teams.

The base compensation range for this role in the posted location is: $82,082 - $193,440

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.