Remote Marketing Cloud Personalization Architect

Rockwoods Inc; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Rockwoods Inc. is seeking a Marketing Cloud Personalization Developer to build and own data models, catalog structures, and Data Cloud connectivity for our omnichannel personalization strategy.

This role creates foundational models, catalog structures, and Affinity Mapping for personalization signals across member experiences. You will implement real-time personalization rules, Einstein Recipes, and multi-channel journeys, collaborating with Marketing, Data, and Product teams.

Qualifications

• Minimum of 5 years in application/software/data-integration development.
• 3+ years hands-on implementation with Salesforce Marketing Cloud Personalization or comparable real-time platform.
• Salesforce Certified Marketing Cloud Developer credential is required.

Responsibilities

• Lead data model creation and planning, including catalog objects, entity relationships, and Data Cloud connectivity.
• Author and maintain decision rules, Einstein Recipes, and real-time event-driven personalization across multi-channel journeys.
• Partner with Marketing, Data, and Product teams to maintain continuity of data models, governance, and roadmaps during platform migrations.
• Own A/B testing, campaign performance monitoring, Marketing Cloud Connect integrations, and change management deployment discipline.

Skills

Data architecture

Real-time personalization

A/B testing

Multi-channel orchestration

Education

Four-year degree in CS/IT or related field

Tools

Salesforce Marketing Cloud Personalization

Einstein Recipes

Job description

Rockwoods Inc. is seeking a Marketing Cloud Personalization Developer to build and own data models, catalog structures, and Data Cloud connectivity for our omnichannel personalization strategy.

This role creates foundational models, catalog structures, and Affinity Mapping for personalization signals across member experiences. You will implement real-time personalization rules, Einstein Recipes, and multi-channel journeys, collaborating with Marketing, Data, and Product teams.