Salesforce Data Cloud Architect
- Toronto, ON, Canada
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- Posting language
- English
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Original job description
Job Description
- Architect scalable, secure, and high-performance Salesforce solutions leveraging Salesforce Data Cloud, CRM Analytics, and Snowflake integrations.
- Design and implement real-time and batch data pipelines to support Customer 360 initiatives.
- Collaborate with cross-functional teams to ensure successful solution delivery, implementation, and adoption.
- Lead impact analysis and develop integration inventories for Salesforce Data Cloud implementations and decommissioning activities.
- Define data models, data ingestion strategies, and data harmonization logic across Salesforce and external systems.
- Ensure compliance with data governance, privacy, and security standards.
- Ideal Background & Qualifications
- 10+ years of experience in Salesforce consulting, with deep expertise in multi-cloud implementations.
- 3+ years of hands-on experience with Salesforce Data Cloud (formerly Customer Data Platform).
- Strong expertise in Sales Cloud, Service Cloud, Experience Cloud, and CRM Analytics.
- In-depth understanding of data integration patterns and technologies, including Snowflake, MuleSoft, and Kafka.
- Proven experience in advisory roles, engaging with senior business stakeholders and IT executives.
- Strong business acumen, with a track record of influencing strategic decisions and delivering measurable business value.
- Excellent storytelling, content development, facilitation, and executive communication skills.
- Experience leading large-scale digital transformation programs.
Certifications
Must Have:
- Salesforce Certified Sales Cloud Consultant or Service Cloud Consultant.
- Salesforce Certified Data Cloud Consultant.
- Preferred:
- Salesforce Certified Application Architect.
Skills
Mandatory Skills:
- Salesforce Data Cloud
- Good-to-Have Skills:
- Salesforce Marketing Cloud
More about this job
Responsibilities
Architect secure, scalable Salesforce Data Cloud solutions and design real-time and batch data pipelines supporting Customer 360 initiatives. Lead integration impact analysis and inventories, define data models and harmonization strategies, and ensure governance, privacy, and security compliance while collaborating with stakeholders on delivery and adoption.
Requirements
Requires 10+ years of Salesforce consulting experience, including 3+ years of hands-on Salesforce Data Cloud experience, with expertise across Salesforce clouds, CRM Analytics, and integrations such as Snowflake, MuleSoft, and Kafka. Candidates should have advisory and digital transformation leadership experience, strong executive communication skills, and the required Salesforce Sales Cloud or Service Cloud Consultant and Data Cloud Consultant certifications.
Skills
- Salesforce Data Cloud
- Salesforce CRM Analytics
- Snowflake
- Sales Cloud
- Service Cloud
- Experience Cloud
- Data Integration
- Data Pipeline Design
- Data Modeling
- Data Governance
- Data Privacy
- Data Security
- MuleSoft
- Kafka
- Executive Communication
- Digital Transformation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Consulting
- Management & Leadership
Keywords
- Salesforce Data Cloud
- Customer Data Platform
- Customer 360
- CRM Analytics
- Snowflake
- Sales Cloud
- Service Cloud
- Experience Cloud
- Marketing Cloud
- MuleSoft
- Kafka
- Real-Time Data Pipelines
- Batch Data Pipelines
- Data Integration
- Data Modeling
- Data Ingestion
- Data Harmonization
- Data Governance
- Data Privacy
- Data Security
- Multi-Cloud Implementations
- Digital Transformation
- Salesforce Certified Application Architect
- Executive Communication