Salesforce Data 360 (Data Cloud) Engineer at Accenture

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent

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

Skills

Salesforce

Data Cloud

Data 360

Data Engineering

Data Integration

Scalable Data Solutions

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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