Key Responsibilities

- Salesforce Data Cloud
- Design and build Data Model Objects (DMOs), Data Stream Objects (DSOs), and source-to-model mapping layers within Salesforce Data Cloud (SFDC360).
- Develop and maintain data offload solutions between the Data Cloud and upstream or downstream platforms.
- Configure and validate Identity Resolution (IR) rulesets and unified contact profiles within the Data Cloud environment.
- Support deployments across development, SIT, UAT, pre-production, and production environments - including preparation of implementation plans, change management documentation, and post-go-live validation.
- Manage and govern data onboarding processes including data dictionaries, attribute mapping reviews, and build validation.

Essential Skills

- 3–5+ years of hands-on data engineering experience in a complex enterprise environment.




- Demonstrated experience with Salesforce Data Cloud - including DMO/DSO development, data ingestion, identity resolution, and end-to-end deployment lifecycle management.
- Robust working knowledge of Databricks, data lake, or similar UDP environment, including batch and streaming ingestion patterns and pipeline orchestration.
- Proficiency in SQL and at least one scripting language (Python preferred) for data transformation and pipeline development.
- Experience working across multiple delivery environments (Dev / SIT / UAT / Pre-Production / Production) with formal change management and release governance processes.
- Ability to write clear technical documentation - implementation plans, data dictionaries, and solution design notes.

Highly Desirable

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📌 Data Engineer – Salesforce Data Cloud (Sydney)
🏢 Xpt Software Australia
📍 Sydney