8+ years in data engineering/ETL, with 3+ years as a lead or architect on large-scale migrations.
Strong knowledge of Salesforce CPQ data model and quote-to-cash processes.
Hands-on knowledge of Salesforce Revenue Cloud Advanced (RCA) data model.
Experience with NetSuite extraction methods including SuiteQL and SuiteTalk.
Expertise in enterprise ETL tools like Informatica or MuleSoft.
Proficiency with Bulk API 2.0 and REST/SOAP APIs.
Advanced SQL skills and experience with staging databases.
Responsibilities
Define migration strategy and architecture for data migration.
Design scalable ETL pipelines with error handling and recovery standards.
Profile CPQ and NetSuite data objects for migration.
Map CPQ data into the RCA model and financial data into Oracle.
Own transformation logic for complex pricing and contract scenarios.
Run validation and reconciliation with business sign-off.
Lead and mentor ETL developers and analysts.
Benefits
Opportunity to lead high-impact data migration projects.
Collaborative work environment with cross-functional teams.
Professional development and mentorship opportunities.
Exposure to advanced data technologies and methodologies.
Full Job Description
About the Role We're seeking a hands-on ETL Lead / Data Migration Architect to lead the migration of quote-to-cash data from Salesforce CPQ and NetSuite into Salesforce Revenue Cloud Advanced (RCA) and Oracle. You'll own the end-to-end strategy, from source analysis and mapping through transformation, reconciliation, and cutover, and lead a team of ETL developers. The ideal candidate knows the Salesforce, NetSuite, and Oracle data models and can translate legacy CPQ and ERP structures into RCA without losing commercial or financial integrity.
Key Responsibilities
Define migration strategy, architecture, and roadmap (phased vs. big-bang, mock loads, dress rehearsals, production cutover).
Design scalable, repeatable ETL pipelines aligned with target RCA and Oracle configuration, with standards for error handling, logging, and restart/recovery.
