Salesforce Data Cloud Engineer at N2S.Global

Victoria, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 26

Salary

60000.0

Posted On

24 Sep, 26

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Services

Description

Key ResponsibilitiesDesign, develop, and support Salesforce Data Cloud (CDP) implementations.
Build and maintain data ingestion pipelines from multiple source systems.
Configure data streams, data model objects (DMOs), calculated insights, and identity resolution.
Integrate Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, and external platforms.
Develop scalable ETL/ELT processes using SQL, Python, and modern data integration tools.
Configure segmentation, activation, and audience management strategies.
Work closely with business stakeholders to translate requirements into technical solutions.
Ensure data quality, governance, security, and compliance standards.
Troubleshoot production issues and optimize system performance.
Support analytics, reporting, and AI-driven customer insights initiatives.
Required Qualifications5+ years of Salesforce platform experience.
2+ years of hands-on Salesforce Data Cloud experience.
Strong understanding of Customer Data Platforms (CDP) and customer 360 concepts.
Expertise in SQL and data modeling.
Experience integrating Salesforce with enterprise systems via APIs.
Knowledge of ETL tools and cloud platforms (AWS, Azure, or GCP).
Experience with Marketing Cloud, MuleSoft, Snowflake, Databricks, or similar technologies.

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Responsibilities

Key ResponsibilitiesDesign, develop, and support Salesforce Data Cloud (CDP) implementations.
Build and maintain data ingestion pipelines from multiple source systems.
Configure data streams, data model objects (DMOs), calculated insights, and identity resolution.
Integrate Salesforce Data Cloud with Sales Cloud, Service Cloud, Marketing Cloud, and external platforms.
Develop scalable ETL/ELT processes using SQL, Python, and modern data integration tools.
Configure segmentation, activation, and audience management strategies.
Work closely with business stakeholders to translate requirements into technical solutions.
Ensure data quality, governance, security, and compliance standards.
Troubleshoot production issues and optimize system performance.
Support analytics, reporting, and AI-driven customer insights initiatives.
Required Qualifications5+ years of Salesforce platform experience.
2+ years of hands-on Salesforce Data Cloud experience.
Strong understanding of Customer Data Platforms (CDP) and customer 360 concepts.
Expertise in SQL and data modeling.
Experience integrating Salesforce with enterprise systems via APIs.
Knowledge of ETL tools and cloud platforms (AWS, Azure, or GCP).
Experience with Marketing Cloud, MuleSoft, Snowflake, Databricks, or similar technologies.