Description

You will engineer data pipelines for Salesforce migrations, extracting, transforming, and migrating complex legacy datasets using Azure Data Factory, Azure Synapse, and Databricks.

This role is remote.

Responsibilities

• 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.
• Manage tasks, priorities, and defects in Jira while contributing to standardized migration frameworks and best practices.

Required Skills

• 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).
• Experience with Data Validation and Jira.
• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.

Key Skills

Education

Any Graduate