Job Title : Data Engineer - Salesforce Data Cloud

Location :Sydney

Mode : Permanent

Data Engineer - Salesforce Data Cloud, Databricks & Decisioning

We are seeking a skilled Data Engineer to work across Salesforce Data Cloud and Databricks

Key Responsibilities

Salesforce Data Cloud

Build and manage DMOs, DSOs, and source to model mappings.

Develop data integration and offload solutions with upstream/downstream systems.

Configure Identity Resolution rules and unified customer profiles.

Support deployments across Dev, SIT, UAT, Pre Prod, and Production environments.

Manage data onboarding, validation, attribute mapping, and documentation.

Databricks (Unified Data Platform)

Design and maintain batch and streaming data pipelines.

Ingest and transform data from CRM, digital, and third party sources.

Support data dictionary creation and cloud storage based data offloads.

Collaborate with DevOps, Architects, and Operations teams to ensure platform reliability.

Decisioning Platform (Pega or Equivalent)

Support data requirements for real time decisioning and personalization platforms.

Partner with analytics and decisioning teams to ensure timely, accurate data delivery.

Contribute to solution planning and dependency management for decisioning use cases.

Cross Platform Delivery





Deliver multiple use cases in Agile squads while managing cross team dependencies.

Create and maintain technical documentation, implementation plans, and runbooks.

Participate in sprint ceremonies, backlog refinement, and release activities.

Provide SIT, UAT, and data validation support across environments.

Skills & Experience

Essential

3‿5 years of enterprise data engineering experience.

Hands on experience with Salesforce Data Cloud (DMOs, DSOs, Data Streams, Identity Resolution).

Strong knowledge of Databricks, data lakes, ETL/ELT, and pipeline orchestration.

Proficiency in SQL and Python.

Experience with release management, deployment processes, and technical documentation.

Preferred

Knowledge of Pega or other real time decisioning platforms.

Experience with AWS S3, Azure Data Lake, and workflow orchestration tools (Airflow or equivalent).

Understanding of data governance, lineage, and quality frameworks.

Exposure to MarTech, large scale transformation programs, and Agile/Secure delivery models.

Interested candidates can send their updated resume to [email protected] or reach me @ M: 61283195529

📌 Data Engineer -Salesforce Data Cloud (Sydney)
🏢 CareCone Group
📍 Sydney