This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Migration Consultant based in the United States.
This role sits at the heart of customer onboarding and implementation, ensuring seamless migration of complex business data into a modern cloud-based platform. You will work closely with customers and internal delivery teams to extract, transform, and load critical datasets from legacy systems into production environments. The work is highly detail-oriented and directly impacts how quickly and successfully new customers go live. You will operate in a structured but fast-paced consulting environment, balancing technical execution with customer interaction and problem-solving. The role requires both analytical rigor and hands-on technical capability, particularly in ETL processes and cross-system data handling. You will play a key part in ensuring data accuracy, consistency, and reliability across migrations that support production, inventory, finance, and distribution workflows. This is a high-impact role where quality of execution directly shapes customer experience and long-term platform success.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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