Data Engineer – Salesforce Data Cloud

XPT Software; Sydney; In loco; AUD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

XPT Software in Sydney is seeking a data engineer with hands-on experience in Salesforce Data Cloud to design and implement data models, streams, and mappings. You will develop data offload solutions and configure identity resolution across environments, ensuring robust data onboarding and governance.

You will work across Dev/SIT/UAT/Pre-Prod/Prod, producing implementation plans and post-go-live validation while documenting data dictionaries and solution designs.

Competenze

• 3-5+ years of hands-on data engineering experience in a complex enterprise environment.
• 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 with formal change management and release governance processes.
• Ability to write clear technical documentation - implementation plans, data dictionaries, and solution design notes.

Mansioni

• Salesforce Data Cloud
• Design and build Data Model Objects (DMOs), Data Stream Objects (DSOs), and source-to-model mapping layers within Salesforce Data Cloud(SFDC360).
• Develop and maintain data offload solutions between the DataCloud and upstream or downstream platforms.
• Configure and validate Identity Resolution (IR) rulesets and unified contact profiles within the Data Cloud environment.
• Support deployments across development, SIT, UAT, pre-production, and production environments - including preparation of implementation plans, change management documentation, and post-go-live validation.
• Manage and govern data onboarding processes including data dictionaries, attribute mapping reviews, and build validation.

Conoscenze

Salesforce Data Cloud

Data modeling

SQL

Python

Data pipelines

Databricks

Strumenti

Databricks

Descrizione del lavoro

• XPT SoftwareAustralia PTY Ltd, incorporated in 2016, is a Software Services company
  
• XPT works with topclients across Australia in Banking, Insurance, Telecom,Retail, Energy, Mining and Manufacturingdomains.
  
• We have 120+technocrats in Australia working at our clientlocations.
  
• XPT SoftwareAustralia is part of group companies which has globalpresence across India & Europe.
  
• We have served100+ clients globally, fulfilling their onsite-offshoreneeds.
  

Key Responsibilities

Salesforce Data Cloud

Design and build Data Model Objects (DMOs), Data StreamObjects (DSOs), and source-to-model mapping layers within Salesforce Data Cloud(SFDC360).

Develop and maintain data offload solutions between the DataCloud and upstream or downstream platforms.

Configure and validate Identity Resolution (IR) rulesets andunified contact profiles within the Data Cloud environment.

Support deployments across development, SIT, UAT, pre-production,and production environments - including preparation of implementation plans,change management documentation, and post-go-live validation.

Manage and govern data onboarding processes including datadictionaries, attribute mapping reviews, and build validation.

3-5+ years of hands-on data engineering experience in acomplex enterprise environment.

Demonstrated experience with Salesforce Data Cloud -including DMO/DSO development, data ingestion, identity resolution, andend-to-end deployment lifecycle management.

Strong working knowledge of Databricks, data lake, orsimilar UDP environment, including batch and streaming ingestion patterns andpipeline 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 managementand release governance processes.

Ability to write clear technical documentation -implementation plans, data dictionaries, and solution design notes.