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Salesforce Data 360 (Data Cloud) Engineer
Accenture —Sydney NSW
- Full-time
- Azure
- Computer Science
- Salesforce
Senior Salesforce Consultant
Monks —Melbourne VIC
- Sales
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- Bachelor's degree
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Design Engagement Lead
Fisher & Paykel Appliances —Sydney NSW
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Senior Technical Support Engineer (Integrations)
FloQast —Sydney NSW
- Full-time
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Salesforce Commerce Cloud Architect - SFCC
NCS Australia —Sydney NSW
- Full-time
- Hybrid work
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- Full-time
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- Full-time
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Ogilvy Australia —Melbourne VIC
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Principal Engineer
Department of Customer Service —Sydney NSW
- $149,739 - $173,174 a year
- Full-time
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- Full-time
- Microsoft Powerpoint
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Obsidian Security —Remote
- On call
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Airwallex —Melbourne VIC
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Simplus Australia —North Sydney NSW
- From $80,000 a year
- Full-time
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- Presentation skills
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Senior technical lead-Design and Discovery Lead
Mobio Solutions —Geelong VIC
- $70 - $100 an hour
- Urgently hiring
- Hybrid work
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Quick Apply
CRM Architect
Pyramid Global Technologies —Sydney NSW
- Salesforce
Business Development Manager, Megapack, Energy
Tesla —Cremorne VIC
- Full-time
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- Engineering

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Salesforce Data 360 (Data Cloud) Engineer

Accenture -
Sydney NSW

Apply Now

Job Details

Full-time

Qualifications

Data modelling
Azure
Computer Science
Salesforce
Google Cloud Platform
SQL
AWS
Analysis skills
Bachelor's degree
Data management
REST
APIs
JSON
AI
Communication skills
Marketing
Analytics

Full Job Description

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™. Join Accenture to work at the heart of change. Visit us at www.accenture.com

About the Salesforce Business Group
Accenture's Salesforce Business Group is the part of Accenture Technology devoted to selling, delivering, and supporting Salesforce technology-based projects across Australia & New Zealand. Part of our global practice, our local and international ability is recognised unanimously as number 1 by Industry Analysts in their annual ratings on Salesforce consulting partners. We think we're unique among our peers with our ability to understand Salesforce, its ecosystem and the career goals of those working in the Ohana. We also bring our collective Accenture capability to our Salesforce work. We work with our industry, consulting, strategy, service design and digital consultants to transform our clients.

About the Role

We are seeking a highly skilled Salesforce Data Cloud Engineer to design, implement, and optimise scalable data solutions within Salesforce Data 360 (formerly Salesforce Data Cloud). You will be responsible for integrating diverse data sources, configuring data models, orchestrating data flows, and enabling real-time, actionable insights for business stakeholders. This role requires a blend of engineering discipline, data management expertise, and deep knowledge of Salesforce’s data architecture.

Key Responsibilities

Design and implement Data 360 data models, including Data Streams, Data Bundles, Data Lake Objects (DLOs), and Data Model Objects (DMOs).
Build and maintain data transformations, including Data Mapper recipes, identity resolution rules, and calculated insights.
Create scalable segmentation, activation, and unification pipelines to support personalisation and analytics use cases.
Develop and manage ETL/ELT pipelines into Data 360 using connectors such as MuleSoft, Marketing Cloud, AWS, Azure, APIs, and flat-file ingestion.
Optimise data ingestion performance with monitoring, validation, and exception handling processes.
Implement real-time and batch data synchronisation across enterprise systems and Salesforce clouds.
Define and enforce data governance, including data retention rules, lineage, cataloguing, and compliance policies.
- Ensure data security and privacy align with organisational and regulatory standards (GDPR, CCPA, HIPAA as applicable).
Develop automated data quality monitoring, troubleshooting, and optimisation processes to ensure reliable, trusted data for Agentforce and other AI capabilities.
Work closely with CRM, Marketing, Analytics, Product, and Data Science teams to translate business requirements into technical designs.
Partner with Salesforce Administrators, Developers, and Architects to ensure cohesive multi-cloud solutions (Sales, Service, Marketing, Commerce, etc.).
Create technical documentation, data dictionaries, and reference architecture diagrams.
- Establish best practices for Data Cloud usage, performance tuning, monitoring, and lifecycle management.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
- 5+ years of experience working with Salesforce, with at least 1+ year in Salesforce Data 360 (or equivalent CDP experience).

Strong understanding of:

Data modeling and data architecture principles
ETL/ELT pipelines and data integration patterns
Identity resolution, deduplication, and unification logic
SQL, JSON, REST/SOAP APIs
Hands-on experience with Salesforce Data 360 features including Data Streams, DLOs/DMOs, Calculated Insights, Segments, and Activation Targets.

Desirable Qualifications

Salesforce certifications such as:

Certified Data Cloud Consultant
Salesforce Administrator, Platform App Builder, Platform Developer I
MuleSoft or Marketing Cloud certifications

Experience with:

Agentforce flows, actions, topics, and secure data access patterns
Cloud platforms (AWS, Snowflake, GCP, Azure)
Streaming technologies (Kafka, Kinesis)
Python, Spark, or similar data engineering tools
Background in marketing automation, customer analytics, or enterprise data platforms.

Soft Skills

Strong analytical problem-solving abilities.
Excellent communication skills, able to convey technical concepts to non-technical audiences.
Ability to work independently in a fast-paced, agile environment.
Detail-oriented with a passion for data accuracy and reliability.

Apply Now

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