Salesforce Data Cloud Technical Architect

OffpremTechnology

2d•Remote

About The Position

The Data Cloud Technical Architect designs and implements data-driven marketing and customer engagement solutions, with a primary focus on Salesforce Data Cloud (Data360). This role is responsible for architecting unified customer data platforms that power analytics, segmentation, and activation across the marketing ecosystem. The ideal candidate brings deep expertise in data modeling, identity resolution, and data activation, with the ability to connect data strategy to business outcomes. This role leads technical solution design, oversees build quality, and remains hands-on as needed. A high-performing Technical Architect is comfortable leading both technical architecture and business consulting conversations, ensuring solutions are scalable, measurable, and aligned to customer goals. Experience with broader Salesforce Marketing Cloud capabilities supports downstream activation and analytics. Marketing Cloud Personalization experience is nice to have. Exposure to Marketing Cloud Next or advanced Marketing Cloud capabilities is a plus, particularly in Data Cloud–driven use cases. This is a high-impact role for someone passionate about turning data into actionable customer experiences and leading modern, data-first Salesforce architecture.

Requirements

Salesforce Data Cloud (Primary Focus)
Proven experience delivering multiple end-to-end Salesforce Data Cloud implementations (required)
Strong hands-on experience with data ingestion, transformation, and harmonization
Data modeling and schema design expertise
Identity resolution concepts and implementation experience
Audience segmentation and activation strategies
Understanding of CDP architecture and real-world use cases
Data governance and data quality best practices
Experience integrating multiple data sources (CRM, web, mobile, third-party data)
Experience leveraging Tableau with Salesforce Data Cloud to visualize unified customer data and drive actionable insights
Marketing Cloud Intelligence
Architecting cross-channel marketing analytics solutions
Data ingestion, normalization, and harmonization
APIs, connectors, automated pipelines
KPI frameworks and dashboard design
Marketing data quality and governance
End-to-end solution ownership
Integration patterns and data flow design
Architecture documentation and diagramming
Client-facing technical leadership
Strong communication and stakeholder management skills
Salesforce Data Cloud Consultant (highly preferred)
Salesforce System Architect or Application Architect
Salesforce Platform Developer I or II
Salesforce Marketing Cloud Consultant
Salesforce Marketing Cloud Developer
Salesforce AI Associate (nice to have, especially for activation use cases)

Nice To Haves

Marketing Cloud Personalization experience
Exposure to Marketing Cloud Next or advanced Marketing Cloud capabilities
Python
Cross-channel marketing analytics and reporting
Data ingestion, normalization, and harmonization
APIs, connectors, and automated pipelines
KPI frameworks and dashboard design
Real-time personalization and behavioral tracking
Audience segmentation and decisioning logic
Rule-based and AI-driven personalization
JavaScript and/or Python
Salesforce AI Associate (especially for activation use cases)
Experience with MCP (Marketing Cloud Platform / Next ecosystem)
Broader MarTech ecosystem experience
2+ years of experience in data modeling
Prior experience with Customer Data Platforms (CDPs)

Responsibilities

Translate business requirements into scalable, data-driven technical solutions
Design end-to-end architectures with a focus on data ingestion, unification, and activation
Architect and implement Salesforce Data Cloud (Data360) solutions
Define data models, identity resolution strategies, and segmentation frameworks
Lead technical design discussions and guide implementation teams
Communicate trade-offs, constraints, and architectural decisions clearly to stakeholders
Ensure high-quality, scalable, and maintainable solution delivery
Partner with marketing and analytics teams to enable personalization and insights