Akkodis is seeking a Data Engineer - Salesforce Data Migration for a Contract with a client in Chicago, IL. This role is responsible for designing source-to-target mappings, optimizing Databricks pipelines, and ensuring accurate, high-quality data delivery across Salesforce platforms.
Responsibilities:
- Extract, transform, and migrate complex legacy datasets using Azure Data Factory, Azure Synapse, and Databricks
- Design and implement source‑to‑target mappings aligned to Salesforce data models across Sales, Service, Experience, and Marketing Cloud
- Perform data validation, reconciliation, and defect/root‑cause analysis to ensure data quality and accuracy
- Support unit testing and UAT while resolving data gaps and inconsistencies with cross-functional teams
- Collaborate with business analysts, Salesforce developers, and multiple workstreams to deliver production‑ready data assets
- Manage tasks, priorities, and defects in Jira while contributing to standardized migration frameworks and best practices
Requirements:
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field
- 5–7 years of experience in data engineering, ETL/ELT development, and large‑scale data migration projects
- Proven hands‑on experience with Azure Data Factory, Azure Synapse, and Databricks in enterprise data environments
- Prior experience delivering end‑to‑end Salesforce data migration across multiple clouds (Sales, Service, Experience, Marketing Cloud)