Job Description

n
- Build Salesforce Data Cloud and Databricks data solutions
n
- Develop data pipelines, integrations and customer data platforms
n
- Enable analytics, personalisation and customer decisioning capabilities
n

n

Company Description

n

the company is a leading provider of Shielded Cloud and Digital Solutions across Australia and New Zealand. We specialise in delivering secure, enterprise-scale technology solutions across data, analytics, customer platforms, cloud, and digital transformation programs.

n

We partner with leading organisations to build high-performing technology teams that deliver cutting-edge data solutions, customer insights, and enterprise-scale digital capabilities that drive meaningful business outcomes.

n

The Role

n

We are seeking an experienced Data Engineer – Salesforce Data Cloud, Databricks & Decisioning to join a high-performing data and analytics team.

n

This role is ideal for a Data Engineer with strong experience across Salesforce Data Cloud, Databricks, data integration, and customer data platforms. You will play a key role in building and maintaining scalable data solutions that support customer insights, personalisation, decisioning, and enterprise analytics capabilities.

n

Working closely with architects, data engineers, DevOps teams, and business stakeholders, you will be responsible for designing, developing, and supporting modern cloud-based data platforms and data-driven customer engagement initiatives.

n

Key Responsibilities

n

n
- Build and manage Salesforce Data Cloud Data Model Objects (DMOs), Data Stream Objects (DSOs), and source-to-model mappings.
n
- Design and implement data integration and data offload solutions between enterprise platforms.
n
- Configure Identity Resolution rules and unified customer profiles within Salesforce Data Cloud.
n
- Manage data onboarding, validation, attribute mapping, reconciliation, and technical documentation.
n




- Support deployments across Development, SIT, UAT, Pre-Production, and Production environments.
n
- Design, develop, and maintain batch and real-time data pipelines within Databricks.
n
- Ingest, transform, and optimise data from CRM, digital, operational, and third-party data sources.
n
- Support cloud storage-based data offloads and enterprise data sharing requirements.
n
- Develop and maintain data dictionaries, metadata documentation, and operational runbooks.
n
- Support data requirements for real-time decisioning and personalisation platforms.
n
- Partner with analytics, customer engagement, and decisioning teams to deliver trusted and reliable data.
n
- Work collaboratively with DevOps, Architecture, Operations, and Delivery teams to ensure platform stability and scalability.
n
- Participate in Agile ceremonies including sprint planning, backlog refinement, stand-ups, and retrospectives.
n
- Support release activities, deployment processes, SIT, UAT, and production validation.
n
- Contribute to continuous improvement initiatives across data engineering and customer data platforms.
n

n

What You'll Need

n

n
- Experience in Data Engineering, Data Integration, or Analytics Engineering roles.
n
- Hands-on experience with Salesforce Data Cloud including DMOs, DSOs, Data Streams, and Identity Resolution.
n
- Strong experience with Databricks and modern cloud-based data platforms.
n
- Strong knowledge of ETL/ELT concepts, data pipelines, and data lake architectures.
n
- Strong SQL and Python development skills.
n




- Experience integrating data from CRM, customer, digital, and enterprise platforms.
n
- Experience supporting release management, deployment activities, and environment promotion processes.
n
- Strong understanding of data modelling, transformation, and integration principles.
n
- Experience creating technical documentation, mappings, implementation plans, and operational runbooks.
n
- Strong analytical, problem-solving, and troubleshooting skills.
n
- Excellent communication and stakeholder engagement abilities.
n
- Experience working within Agile delivery environments.
n
- Experience with Pega or other real-time decisioning and personalisation platforms is highly regarded.
n
- Experience with AWS S3, Azure Data Lake, or similar cloud storage technologies is highly regarded.
n
- Experience with workflow orchestration platforms such as Airflow or equivalent tools is highly regarded.
n
- Understanding of data governance, data quality, metadata management, lineage, and compliance frameworks is highly regarded.
n
- Experience working within MarTech, Customer Data Platform (CDP), customer engagement, or personalisation environments is highly regarded.
n
- Exposure to large-scale digital transformation programs and Agile/SAFe delivery environments is highly regarded.
n

n

Why Join Us?

n

n
- Work on enterprise-scale customer data and analytics initiatives.
n
- Deliver solutions leveraging leading technologies including Salesforce Data Cloud and Databricks.
n
- Gain exposure to customer engagement, personalisation, and decisioning platforms.
n
- Collaborate with experienced architects, engineers, and analytics professionals.
n
- Join a consulting culture focused on innovation, technical excellence, and continuous improvement.
n
- Contribute to data solutions that drive customer and business outcomes.
n

#J-18808-Ljbffr

📌 Salesforce Data Cloud Engineer (New South Wales)
🏢 United States Digital Space
📍 New South Wales