> Markdown version of [/jobs/ext/4707682-sfdc-data-migration-expert-with-crm](https://www.wearedevelopers.com/jobs/ext/4707682-sfdc-data-migration-expert-with-crm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SFDC Data Migration Expert with CRM - **Company:** Shrive Technologies Llc - **Location:** Rahway, NJ, United States - **Salary:** $156,000 - $166,400 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Custom Software, Data Architecture, Data Governance, Data Migration, Migration Manager, Salesforce.Com, Enterprise Data Management, Enterprise Integration - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sfdc-data-migration-expert-with-crm-rahway-nj--2dd52d57-210e-4dda-a3d5-abee1535c6d4 ## About the Role Data Migration, Customer Relationship Management (CRM), Wealth Management, Salesforce.com, Insurance, Leadership, Customer Relationship Management (CRM), Data Modeling, Migration Strategy, Application Programming Interface (API) ## Description JD- 10+ years leading enterprise-scale CRM, FSC, Wealth Management, Insurance, or Customer 360 data programs. * Expertise in Salesforce Financial Services Cloud (FSC) data architecture and data model. * Experience leading complex migrations from platforms such as Custom Applications, CRM, Wealth Management, Insurance Administration, Client Management, and Advisor platforms. * Strong understanding of Customer, Household, Relationship, Financial Account, Holdings, Insurance Policy, Activity, and Interaction data domains. * Experience defining migration strategies involving multiple source systems, APIs, batch feeds, and enterprise integration platforms. * Proven experience establishing migration volumetrics, reconciliation frameworks, data governance models, and enterprise data operating models. * Ability to engage effectively with business executives, operations teams, data owners, architects, and engineering teams to drive critical data decisions