Data Engineer – Salesforce Data Migration

Position: Data Engineer – Salesforce Data Migration

Location: Remote

Duration: Contract    

Key Responsibilities: Data Engineering & Migration

Extract legacy data from relational databases (e.g., SQL Server) using Azure‑based services such as Azure Data Factory and Azure Synapse
Design and implement source‑to‑target mappings aligned to Salesforce data models
Build and optimize data transformation pipelines using Databricks
Load, validate, and reconcile data across Salesforce platforms including Sales Cloud, Service Cloud, Experience Cloud, and Salesforce Marketing Cloud (SFMC)
Data Quality & Testing

Perform data validation, reconciliation, and defect analysis
Conduct unit testing and support User Acceptance Testing (UAT)
Identify data gaps and work with stakeholders to resolve inconsistencies
Delivery & Collaboration

Manage work items, defects, and priorities using Jira
Collaborate with business analysts, Salesforce developers, and program teams across multiple workstreams
Contribute to reusable migration frameworks, standards, and playbooks
Ensure timely delivery aligned to program milestones and governance processes


Skills & Experience: Technical Skills

Strong experience in data engineering and ETL/ELT development
Hands‑on experience with Azure Data Factory, Azure Synapse, and Databricks
Experience loading data into Salesforce platforms
Solid understanding of Salesforce data models
Strong SQL skills and experience working with large, complex datasets
Prior experience in Salesforce data migration projects
Strong analytical and problem‑solving skills
Excellent communication and documentation skills
Ability to work across multiple workstreams and collaborate with distributed teams
Preferred Qualifications

Experience in enterprise‑scale CRM or Salesforce transformation programs
Familiarity with data quality, reconciliation, and migration best practices
Experience working in Agile delivery models