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SAP Data Conversion Consultant

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: Bright Vision Technologies
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    SAP Consultant, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Remote - Kirkland, Washington, United States

Sep 16, 2026

$100,000 - $150,000/year

SAP Data Conversion Consultant- Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: SAP Data Conversion Consultant
Location:100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience

Required:

6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EADHolders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are seeking an experienced SAP Data Conversion 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.

Key Responsibilities
  • 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 onto over time.
Required 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/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 analysis skills
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