SAP DATA migration Consultant

Openkyber, LLC; Alaska; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Openkyber, LLC is seeking an SAP Data Migration Consultant to drive end-to-end S/4HANA data migration efforts in a hybrid New Jersey setup. You will lead data mapping, ETL transformation with SAP BODS, and oversee loads using LSMW and LTMC, tackling technical issues and reconciliation.

The role requires strong experience in data assessment, profiling, cleansing, and governance, plus collaboration with cross-functional teams to ensure a smooth cutover and MDG-aligned migration.

Qualifications

• Experience with end-to-end SAP S/4HANA data migration lifecycle.
• Proven data mapping and ETL transformation expertise using SAP BODS.
• Hands-on experience with LSMW and LTMC for data loads.
• Ability to assess data quality and perform profiling.
• Experience coordinating with cross-functional stakeholders and governance.

Responsibilities

• Experienced in end-to-end SAP S/4HANA data migration lifecycle (plan, assess, extract, transform, load, validate, and reconcile).
• Drive data mapping and transformation (ETL) activities, with a focus on SAP BODS.
• Execute and support data loads using tools such as LSMW, LTMC (and related methods), including technical troubleshooting of load issues.
• Understanding in data assessment and profiling to evaluate readiness, completeness, and quality.
• Identify data cleansing and enrichment opportunities in collaboration with business and functional teams.
• Support defect management and resolution, ensuring timely triage, root-cause analysis, and closure.
• Work effectively with cross-functional stakeholders (business, functional, technical, security/compliance) to meet project deliverables.
• Plan and execute cutover activities, including mock loads, checkpoints, and data reconciliation before/after go-live.
• Provide guidance on and alignment with SAP MDG processes, ensuring governance standards are considered during migration.

Skills

SAP S/4HANA data migration

Data mapping

ETL transformation

SAP BODS

LSMW

LTMC

Data profiling

Data cleansing

Cutover planning

MDG processes

Tools

LSMW

LTMC

SAP BODS

Job description

Position : SAP DATA migration Consultant

Location : new jersey Hybrid

Duration : Long Term Contract

Key Responsibilities

• Experienced in end-to-end SAP S/4HANA data migration lifecycle (plan, assess, extract, transform, load, validate, and reconcile).
• Drive data mapping and transformation (ETL) activities, with a focus on SAP BODS.
• Execute and support data loads using tools such as LSMW, LTMC (and related methods), including technical troubleshooting of load issues.
• Understanding in data assessment and profiling to evaluate readiness, completeness, and quality.
• Identify data cleansing and enrichment opportunities in collaboration with business and functional teams.
• Support defect management and resolution, ensuring timely triage, root-cause analysis, and closure.
• Work effectively with cross-functional stakeholders (business, functional, technical, security/compliance) to meet project deliverables.
• Plan and execute cutover activities, including mock loads, checkpoints, and data reconciliation before/after go-live.
• Provide guidance on and alignment with SAP MDG processes, ensuring governance standards are considered during migration.

Required Skills & Experience

• Strong hands-on experience with SAP S/4HANA data migration processes.
• Proven experience in data mapping and ETL transformation, especially using SAP BODS.
• Experience with data loading tools/processes such as LSMW, LTMC, including technical issue resolution.
• Good understanding of SAP programs and tables, with the ability to debug when required.
• Strong knowledge of data assessment and profiling techniques.
• Ability to identify and drive data cleansing and enrichment initiatives.
• Solid understanding of defect resolution processes in project delivery.
• Experience working with cross-functional teams and supporting compliance requirements.
• Experience executing cutover plans and performing data reconciliation.
• Good understanding of SAP MDG processes.