Salesforce Technical Architect with Data 360 (Data Cloud)
- ON, Canada
- Ontario, Canada, Canada
$140,000 to $170,000 USD / year · Full-time
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Job details
- Pay
- $140,000 to $170,000 USD / year
- Job type
- Full-time
- Apply by
- Experience
- Experience : 15 Years
- Posting language
- English
- Posted
Original job description
Job Title : Salesforce Technical Architect with D360(Data Cloud)
Job Location: Mississauga, Canada
Experience : 15 Years
Role Summary
Lead the architecture design and governance of Salesforce Data Cloud Data 360 solutions across CRM and Marketing Automation platforms Responsible for defining the enterprise data model identity resolution strategy integration architecture technical standards and overall solution integrity
Responsibilities
Own solution integrity architecture decisions cross-source patterns interface design reviews technical risk resolution and readiness recommendation
Owns canonical CRM Individual MAP data model DLODMO
Designs identity resolution survivorship leads wave and Option B foundation acceptance
End-to-end solution design data strategy integration patterns
Design authority technical governance NFRs scale security performance
Org data space strategy consent privacy by design GDPR capacity credit consumption planning architecture decision records
Required Skills
Salesforce Data Cloud Data 360
Customer 360 Architecture
Identity Resolution
Data Lake Objects DLO
Data Model Objects DMO
Salesforce CRM Integration
Pardot and Eloqua Integration
Enterprise Data Modeling
API and Integration Architecture
Data Governance
Consent and Privacy Management
Solution Architecture
Technical Governance
Performance and Scalability Design
Preferred Experience
Experience leading enterprise Salesforce Data Cloud implementations
Strong understanding of customer data unification and customer profile architecture
Experience designing multisource CRM and Marketing Automation Platform integrations
Experience defining governance frameworks architecture standards and enterprise data strategies
Ability to work with senior business and technical stakeholders
Educational Qualification
Bachelors or Masters Degree in Computer Science Information Technology Engineering Data Management or a related field
More about this job
Responsibilities
Lead the architecture, governance, and end-to-end design of Salesforce Data Cloud solutions across CRM and marketing automation platforms. Define enterprise data models, identity resolution and survivorship strategies, integration patterns, technical standards, privacy controls, and solution readiness.
Requirements
The role calls for 15 years of experience and strong expertise in Salesforce Data Cloud, customer data unification, identity resolution, enterprise data modeling, and integrations across multiple CRM and marketing automation platforms. Candidates should have experience leading enterprise implementations and defining architecture governance and data strategies, along with a bachelor's or master's degree in a relevant field.
Skills
- Salesforce Data Cloud
- Customer 360 Architecture
- Identity Resolution
- Data Lake Objects
- Data Model Objects
- Salesforce CRM Integration
- Pardot Integration
- Eloqua Integration
- Enterprise Data Modeling
- API and Integration Architecture
- Data Governance
- Consent and Privacy Management
- Solution Architecture
- Technical Governance
- Performance and Scalability
- Customer Data Unification
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Management & Leadership
- Consulting
Keywords
- Salesforce Data Cloud
- Data 360
- Customer 360
- Salesforce CRM
- Pardot
- Eloqua
- Identity Resolution
- Survivorship
- Data Lake Objects
- Data Model Objects
- Enterprise Data Modeling
- Canonical Data Model
- API Architecture
- Integration Architecture
- Marketing Automation
- Data Governance
- Consent Management
- Privacy by Design
- GDPR
- Technical Governance
- Architecture Decision Records
- Non-Functional Requirements
- Scalability
- Performance
- Security
- Capacity Planning
- Credit Consumption Planning
- Customer Data Unification