Data Engineer: Salesforce Data Cloud + Databricks

CareCone Group; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

CareCone Group is seeking a Data Engineer to own end-to-end data pipelines across Salesforce Data Cloud and Databricks in Sydney. You will design DMOs/DSOs, ingest data, and manage identity resolution for personalised experiences at scale.

You will collaborate with DevOps and Data Architects to ensure reliable, observable pipelines across Dev to Production, with strong documentation and governance practices.

Qualifications

• 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 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.

Responsibilities

• Design and build Data Model Objects (DMOs), Data Stream Objects (DSOs), and source-to-model mapping layers within Salesforce Data Cloud.
• Develop and maintain data offload solutions between the Data Cloud and upstream or downstream platforms.
• Configure and validate Identity Resolution rulesets and unified contact profiles within the Data Cloud environment.
• Support deployments across development, SIT, UAT, pre-production, and production environments with plans, change management docs, and post-go-live validation.
• Manage and govern data onboarding processes including data dictionaries, attribute mapping reviews, and build validation.
• Ingest and transform data from multiple sources into Databricks with batch and streaming patterns and orchestrate pipelines.
• Collaborate with DevOps, Data Architects, and operations teams for end-to-end pipeline reliability and observability.
• Provide SIT, UAT, and data validation support across environments; ensure data availability for personalisation and customer engagement use cases.

Skills

Salesforce Data Cloud

Databricks

SQL

Python

Technical documentation

Tools

Azure Databricks

Delta Lake

Airflow

Azure DevOps

Git

Job description

CareCone Group is seeking a Data Engineer to own end-to-end data pipelines across Salesforce Data Cloud and Databricks in Sydney. You will design DMOs/DSOs, ingest data, and manage identity resolution for personalised experiences at scale.

You will collaborate with DevOps and Data Architects to ensure reliable, observable pipelines across Dev to Production, with strong documentation and governance practices.