Sap Data Migration Cockpit information
See salary details
$10.10 - $19.67
5% of jobs
$19.67 - $29.24
0% of jobs
$29.24 - $38.81
0% of jobs
$38.81 - $48.38
0% of jobs
$48.38 - $57.95
0% of jobs
$57.95 - $67.53
16% of jobs
$69.92 is the 25th percentile. Wages below this are outliers.
$67.53 - $77.10
17% of jobs
The median wage is $82.57 / hr.
$77.10 - $86.67
22% of jobs
$91.46 is the 75th percentile. Wages above this are outliers.
$86.67 - $96.24
31% of jobs
$96.24 - $105.81
0% of jobs
$105.81 - $115.38
9% of jobs
How much do sap data migration cockpit jobs pay per hour?
As of Sep 14, 2026, the average hourly pay for sap data migration cockpit in the United States is $81.49, according to ZipRecruiter salary data. Most workers in this role earn between $71.15 and $91.35 per hour, depending on experience, location, and employer.
SAP Data Migration Cockpit is a tool provided by SAP to help users transfer data from legacy systems into SAP S/4HANA. It offers a guided, step-by-step approach for migrating business data such as customers, vendors, and financial information. The cockpit uses predefined migration objects and templates, making the migration process more streamlined and less error-prone. It supports both file-based and direct transfer methods, ensuring flexibility for different migration needs.
To thrive as an SAP Data Migration Cockpit Specialist, you need a strong background in data management, experience with SAP S/4HANA, and knowledge of data migration best practices, often supported by a relevant degree in IT or computer science. Proficiency in SAP Data Migration Cockpit (DMC) tools, LSMW, and familiarity with ETL processes are typically required, along with SAP certification being advantageous. Attention to detail, problem-solving skills, and effective communication are critical soft skills for managing complex data scenarios and collaborating with stakeholders. These competencies ensure data integrity, minimize migration risks, and facilitate smooth transitions during SAP implementation projects.
A frequent challenge with the SAP Data Migration Cockpit is ensuring data quality and consistency during the migration process, especially when dealing with large volumes or complex legacy systems. Issues such as data mapping errors, transformation logic, and handling dependencies between data objects can arise. Collaborating closely with functional and technical teams, performing thorough data validation, and conducting multiple test migrations are crucial for minimizing issues. Utilizing SAP's pre-delivered migration objects and continuously monitoring error logs can also help streamline the migration and resolve problems efficiently.
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