Remote SAP Data Migration Architect (S/4HANA)

Bright Vision Technologies

South Jordan, Draper (UT, UT)

Remote

USD 100,000 - 150,000

Full time

2 days ago

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Job summary

Bright Vision Technologies is seeking an experienced SAP Data Conversion Consultant to design, execute, and support large-scale data migration initiatives within SAP S/4HANA environments. The role covers the full data migration lifecycle—from extraction to cutover—and requires deep knowledge of SAP data structures, governance, and cross-functional collaboration.

The ideal candidate will have hands-on experience with LTMC, SLT, LVM, and S/4HANA migration tools, plus strong SQL and data validation

Qualifications

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/4HANA 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 analysis skills.
Experience working in enterprise SAP landscapes during major implementations.
Strong troubleshooting and documentation skills.

Responsibilities

Design and execute SAP data migration strategies for S/4HANA 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 onto over time.