Skills: Data Engineer – Salesforce Data Cloud, Unified Data Platform & Decisioning

Hiring for Data Engineer ( SFDC )

Location- SYDNEY

Position- Permanent

Skills: Data Engineer – Salesforce Data Cloud, Unified Data Platform & Decisioning

About the Role

We are looking for a skilled and versatile Data Engineer to join our team - a role that spans two critical platforms: Salesforce Data Cloud , and Databricks (Unified Data Platform) . This is a hybrid technical role that demands the ability to move fluidly between data engineering, solution build, and platform integration work.

You will be responsible for designing, building, testing, and deploying data pipelines, data model objects, and ingestion solutions that power personalisation capabilities at scale across batch and real-time channels.

Job Description

- 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.
- Strong working knowledge of Databricks, data lake, or similar UDP setting, 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.

Note- Must have valid Australian work Authorization.

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📌 Data Engineer (Salesforce Data Cloud) (Sydney)
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