SAP Data Migration Consultant

Job Title

SAP Data Migration Consultant

100% Remote (Continental United States)

In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)

Salary: $100K - $150K

5+ years

No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.

Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)

Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap

Competitive base salary commensurate with experience, plus benefits

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role.

We do not provide new H1B sponsor ships. Candidates currently on a valid H1B visa requiring a transfer are welcome to apply. We will support H1B transfers for qualified candidates.

We are seeking an experienced SAP Data Migration Consultant to design, execute, and support large-scale data migration initiatives within SAP S/4

HANA environments. This role focuses on the full data migration lifecycle — extraction, transformation, validation, reconciliation, and cutover — to ensure accurate, complete, and compliant migration of enterprise data from legacy systems into SAP. The ideal candidate will combine strong hands‑on experience with SAP LTMC, SLT, LVM, and S/4

HANA migration tools with deep understanding of SAP data structures, business processes, and data governance, and will partner closely with functional teams, business owners, and infrastructure stakeholders during all phases of migration.

• Design and execute SAP data migration strategies for S/4
  
  HANA implementations, including conversion and greenfield scenarios.
• Perform data extraction from legacy systems using SAP‑provided and custom tools and prepare data for ingestion into SAP.
• Configure and utilize SAP LTMC (Legacy Transfer Migration Cockpit), including custom migration objects where required.
• Implement real‑time replication scenarios using SAP SLT (System Landscape Transformation), including transformation rules and filter conditions.
• Manage logical system setups and replication configurations for hybrid SAP environments.
• Support system refreshes and landscape virtualization activities using SAP LVM (Landscape Virtualization Management).
• Design and execute data transformation, cleansing, and enrichment processes prior to migration.
• Develop comprehensive validation and reconciliation reports to ensure data accuracy and completeness.
• Identify and resolve data inconsistencies, duplicates, and orphan records prior to go‑live.
• Support mock migrations, dress rehearsals, and the final cutover, including detailed runbook execution and rollback planning.
• Optimize performance for large-volume data loads, including parallelization, package sizing, and database tuning.
• Collaborate with functional teams to validate master and transactional data against business expectations.
• Ensure compliance with enterprise data governance, audit, and privacy standards.
• Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers over time.

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of SAP data migration experience.
• Strong hands‑on experience with SAP LTMC and S/4
  
  HANA migration tools.
• Experience with SAP SLT replication scenarios.
• Working knowledge of SAP LVM for system refresh and landscape management.
• Strong understanding of SAP master and transactional data structures.
• Experience performing data validation and reconciliation processes.
• Strong SQL and data…