Salesforce Data 360 Architect

Summary

Dentsu is a global marketing and advertising agency, and they are seeking a Salesforce Data 360 Architect. The role involves leading the implementation of Salesforce Data Cloud, designing technical solutions, and integrating data to enhance customer personalization efforts.

Responsibilities

• You'll lead the full implementation lifecycle of Salesforce Data Cloud, from data acquisition and integration to quality assurance, activation, and ongoing use
• You'll design and document scalable and robust solutions on-site with clients, translating business requirements into detailed technical tasks for offshore development teams
• You'll serve as the primary technical expert for offshore resources, providing hands-on support, troubleshooting complex issues, and ensuring high-quality deliverables
• You'll develop and execute sophisticated data-driven segmentation strategies to enable precise audience targeting and personalized customer journeys
• You'll design, document, and implement comprehensive data models, pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud
• You will act as a subject matter expert on Salesforce Data Cloud, Marketing Cloud Personalization (MCP), and the evolving Salesforce Personalization (Einstein Personalization) landscape
• You'll integrate data from diverse sources, including Salesforce Sales and Service Clouds, various databases, and third-party platforms, to create a unified customer profile and support advanced marketing and personalization efforts
• You will actively participate in knowledge-sharing sessions, contribute to practice development, and lead internal proof-of-concept (POC) projects and demo builds
• You'll guide and support junior-level resources within the offshore team, fostering their technical growth and ensuring adherence to best practices
• Stay current with the Salesforce release cycles and emerging industry trends, particularly in AI and cloud technologies, to provide innovative solutions

Skills

• A minimum of 5 years of overall experience in a technical role, with at least 2+ years of hands-on experience focused on Salesforce Data Cloud and/or custom database solutions
• Salesforce Data Cloud Consultant certification is mandatory
• Proven hands-on experience with other Salesforce core products, particularly Sales Cloud and Service Cloud
• A deep understanding of marketing automation, data segmentation, personalized customer journeys, decisioning, and Next Best Action strategies
• Expertise in data modeling, ETL processes, data integration tools (e.g., MuleSoft, Informatica), and SQL proficiency
• Strong working knowledge of core Salesforce platform concepts such as Lightning Web Components (LWC), Flows, and Apex
• Experience with Data Actions and Flow integrations, along with API utilization for seamless data exchange
• A bachelor's degree in Computer Science, Information Technology, Marketing, or comparable work experience
• Experience with Salesforce Marketing Cloud Personalization (MCP/Evergage) is highly desirable, along with a proven ability to transfer skills to the new Salesforce Personalization platform
• Familiarity with broader cloud technologies (e.g., AWS, Azure, GCP) and data warehousing platforms (e.g., Snowflake) is a significant advantage
• Additional Salesforce certifications, particularly the Agentforce Specialist credential, would be a major advantage given the current AI boom

Qualifications

Must Haves

• A minimum of 5 years of overall experience in a technical role, with at least 2+ years of hands-on experience focused on Salesforce Data Cloud and/or custom database solutions
• Salesforce Data Cloud Consultant certification is mandatory
• Proven hands-on experience with other Salesforce core products, particularly Sales Cloud and Service Cloud
• A deep understanding of marketing automation, data segmentation, personalized customer journeys, decisioning, and Next Best Action strategies
• Expertise in data modeling, ETL processes, data integration tools (e.g., MuleSoft, Informatica), and SQL proficiency
• Strong working knowledge of core Salesforce platform concepts such as Lightning Web Components (LWC), Flows, and Apex
• Experience with Data Actions and Flow integrations, along with API utilization for seamless data exchange
• A bachelor's degree in Computer Science, Information Technology, Marketing, or comparable work experience

Nice to Haves

• Experience with Salesforce Marketing Cloud Personalization (MCP/Evergage) is highly desirable, along with a proven ability to transfer skills to the new Salesforce Personalization platform
• Familiarity with broader cloud technologies (e.g., AWS, Azure, GCP) and data warehousing platforms (e.g., Snowflake) is a significant advantage
• Additional Salesforce certifications, particularly the Agentforce Specialist credential, would be a major advantage given the current AI boom

Benefits

• Medical, vision, and dental insurance
• Life insurance
• Short-term and long-term disability insurance
• 401k
• Flexible paid time off
• At least 15 paid holidays per year
• Paid sick and safe leave
• Paid parental leave