Salesforce Developer with Azure Data Factory Expertise
CINNOVX
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 125KJob location
Remote
Tech stack
Customer Data Management
Data Cleansing
Data Mapping
Data Transformation Services
Microsoft SQL Server
Salesforce
Technical Data Management Systems
Azure
Bamboo
Job description
- Expert level experience with Azure Data Factory and Data Lake use for data migration
- Experience in Salesforce data structures, relationships, and metadata.
- Assist in identifying and documenting source-to-target mappings for Salesforce objects.
- Validate data quality and integrity during conversion cycles.
- Collaborate with functional teams to clarify business rules and data requirements.
- Data reconciliation and data cleansing between Salesforce and SQL Server.
- Advise on best practices for handling large volumes of Salesforce data.
Scope of Work:
- Review and confirm data mapping for Salesforce objects/tables.
- Key contributor in data workshops and working sessions with conversion and functional teams.
- Provide guidance on handling custom fields, record types, and data hierarchies.
- Help define transformation logic for SQL Server to Salesforce data migration.
Requirements
- 10+ Experience with data migration tools (e.g. Azure Data Factory, Data Modeler) and working with Azure pipelines for code promotions and deployments
- Understanding of Salesforce data model (Public Sector Application, License and Inspection, Case Management, Contact/Accounts, etc.)
- Ability to interpret business requirements into technical data specifications
This position is open only to individuals who are authorized to work in the United States. Proof of valid work authorization will be required prior to employment. This is a remote position; however, the employee must be available to work standard business hours in the Pacific Time Zone (PT).