Salesforce Data Migration Engineer

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. The company has over thirty years of expertise in custom software, product, and platform engineering, empowering clients to become AI-Native enterprises.

• 5+ years of IT experience, including 3+ years of hands-on Salesforce Data Migration experience on enterprise-scale implementations
• Experience executing at least one major migration involving Salesforce CPQ/Billing
• Understanding of CPQ data structures, including how Quote Lines, Subscriptions, and Contract objects interrelate
• Proficiency in Salesforce ETL tools such as MuleSoft, Informatica, Talend, or Jitterbit
• Skills in data loading tools such as Salesforce Data Loader, Copado, and Salesforce DX
• Strong SQL skills and data modeling experience
• Experience working with high-volume data sets containing millions of records
• English proficiency at B2 level or higher

Nice to have:

• Salesforce Certified CPQ Specialist
• Salesforce Certified Data Architect (working towards or held)

• Build and execute extraction, transformation, mapping, validation, and loading (ETL/ELT) processes as defined in the data migration strategy
• Contribute to code reviews and adhere to technical standards and validation protocols established for the migration team
• Execute rollback and disaster recovery procedures during mock and production cutovers, flag issues, and support rapid resolution
• Execute the migration of complex, relational CPQ data, including Product Catalogs, Price Books, Quote templates, Subscriptions, Assets, and multi-tier Contracting hierarchies, while maintaining referential integrity
• Collaborate with Salesforce Architects and the Technical Lead to map legacy financial and billing data into target Salesforce ARM and CLM data structures
• Troubleshoot and resolve data mapping issues unique to CPQ, such as migrating active subscription contracts and aligning historical pricing rules
• Apply data profiling and cleansing standards to ensure high-fidelity, deduplicated data is loaded into the target environment
• Follow data security and compliance requirements to ensure migrated data meets regulatory and enterprise data governance frameworks
• Build and run automated validation scripts to perform pre- and post-load reconciliation in support of full financial data accuracy

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