Build the Salesforce Data 360 foundation for client personalisation, marketing automation, and Agentforce programs, involving discovery, data stream mapping, and identity resolution.
Responsibilities
Lead client discovery and requirements sessions, turning business goals into a Data 360 design.
Design and configure data streams, data model mapping and identity resolution.
Build calculated insights and segments with documented definitions and refresh schedules.
Run data quality, consent, and mapping checks.
Manage workstream scope, plan, budget, and communication using Kantata and Jira.
Requirements
Salesforce certification in Data 360 (Data Cloud) Consultant
We seeking a hands-on Salesforce Data Cloud (Data 360) Expert to support the implementation of a Data 360 and Content 360 data product, involving configuring data models, integrating metadata, and developing data flows.
Responsibilities
Design and configure the Data 360 data model to support content metadata, asset relationships, identifiers, taxonomy, and engagement data.
Create and configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), custom objects, relationships, and field mappings.
Ingest and integrate metadata from source systems including Veeva Vault PromoMats, Workfront, CPMT, HQ Workstation, and other content/activation platforms.
Define and implement source-to-target mappings, transformation rules, primary keys, foreign keys, and relationships across source systems.
Support Content 360 architecture implementation and end-to-end data flows.
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Nice to have: Knowledge of Marketing Cloud Journeys, Contact Builder, and activation flows
Nice to have: Exposure to Salesforce Personalization, Agentforce, and Einstein AI
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Nice to have: Knowledge of Marketing Cloud Journeys, Contact Builder, and activation flows
Nice to have: Exposure to Salesforce Personalization, Agentforce, and Einstein AI
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud
Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices.
Responsibilities
Oversee end-to-end Data 360 delivery by governing data ingestion (batch, streaming, APIs, Zero Copy), data modeling and identity unification, Data Transforms and Calculated Insights, and effective segmentation and activation across Marketing Cloud, Personalization, and AI-driven use cases.
Own solution design reviews and ensure alignment with enterprise data architecture.
Prepare data modeling, DMOs, and relationship design.
Act as the primary technical and delivery point of contact for Data 360 initiatives.
Ensure best practices for scalability, performance, and data governance.
Requirements
15 years full time education
Nice to have: Integrating Data Cloud with Marketing Cloud, Sales Cloud, and Service Cloud
Data 360 Consultant (Salesforce)NewBluprintx · Remote, Australia