Senior Salesforce FSC Data Migration Specialist (Remote)
Eliassen Group
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Benefits offered by this job
Job summary
Eliassen Group is seeking a hands-on Senior Salesforce FSC Data Migration Analyst to support migration of legacy banking data into Salesforce Financial Services Cloud and Snowflake. You will own data profiling, cleansing, mapping, transformation, migration, validation, and reconciliation, working directly with source and target data.
The role focuses on execution, including production cutover and post-migration stabilization, with an emphasis on data integrity and successful integrations between
Qualifications
- Hands-on enterprise data migration experience.
- Salesforce Financial Services Cloud data experience.
- Data profiling, cleansing, and transformation expertise.
- Proven source-to-target data mapping.
- Strong SQL.
- Data validation, reconciliation, and migration cutover execution.
- Preferred: Banking or financial services data migration experience.
- Preferred: Snowflake exposure or experience.
Responsibilities
- Profile, cleanse, and transform legacy banking data for migration into Salesforce FSC and Snowflake.
- Develop detailed source-to-target data mappings and transformation rules.
- Execute data migrations, validations, and reconciliations across source and target systems.
- Identify, analyze, and remediate data-quality issues and migration defects.
- Support mock migration cycles, production cutover, and post-migration stabilization.
- Enable and validate integrations and data exchanges between Salesforce FSC and Snowflake.
Skills
Tools
Job description
Eliassen Group is seeking a hands-on Senior Salesforce FSC Data Migration Analyst to support migration of legacy banking data into Salesforce Financial Services Cloud and Snowflake. You will own data profiling, cleansing, mapping, transformation, migration, validation, and reconciliation, working directly with source and target data.
The role focuses on execution, including production cutover and post-migration stabilization, with an emphasis on data integrity and successful integrations between
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