AdTechTalent
Programmatic4 days agoRemote

Merkle

Salesforce Data 360 Architect

Salesforce Data CloudSalesforceMarketing Cloud PersonalizationEinstein PersonalizationData modelingETLSQLMuleSoftInformaticaAPILWCFlowsApexCloudAWSAzureGCPSnowflakeMarketing automationData segmentationPersonalized customer journeysNext Best ActionAI

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Chicago, United States

Full job description

Lead the full implementation lifecycle of Salesforce Data Cloud including data acquisition, integration, quality assurance, activation, and ongoing use. Design and document scalable solutions on-site with clients and translate business requirements into technical tasks for offshore teams. Serve as primary technical expert for offshore resources, providing support and troubleshooting. Develop data-driven segmentation strategies for audience targeting and personalized journeys. Design and implement data models, pipelines, and transformations for data ingestion and enrichment. Act as subject matter expert on Salesforce Data Cloud, Marketing Cloud Personalization, and Salesforce Personalization. Integrate data from Salesforce Sales and Service Clouds, databases, and third-party platforms to create unified customer profiles. Participate in knowledge sharing, practice development, and lead POC projects. Guide junior offshore team members. Stay current with Salesforce releases and AI/cloud trends. Requires minimum 5 years technical experience, 2+ years hands-on Salesforce Data Cloud experience, Salesforce Data Cloud Consultant certification, and strong Salesforce platform knowledge. Remote position with up to 25% travel. Salary range $113,000 - $182,850. Benefits include medical, vision, dental, life insurance, disability insurance, 401k, paid time off, holidays, sick leave, and parental leave.

What you'll do

  • Lead full implementation lifecycle of Salesforce Data Cloud from data acquisition to ongoing use
  • Design and document scalable, robust solutions on-site with clients
  • Translate business requirements into detailed technical tasks for offshore development teams
  • Serve as primary technical expert for offshore resources, providing hands-on support and troubleshooting
  • Develop and execute sophisticated data-driven segmentation strategies for precise audience targeting and personalized journeys
  • Design, document, and implement data models, pipelines, and transformations to support data ingestion and enrichment
  • Act as subject matter expert on Salesforce Data Cloud, Marketing Cloud Personalization, and Salesforce Personalization
  • Integrate data from Salesforce Sales and Service Clouds, databases, and third-party platforms to create unified customer profiles
  • Participate in knowledge-sharing, contribute to practice development, and lead internal POC projects and demos
  • Guide and support junior offshore team members, fostering technical growth and best practices adherence
  • Stay current with Salesforce releases and emerging trends in AI and cloud technologies
  • Travel up to 25% as required

Requirements

  • Minimum 5 years overall technical experience
  • At least 2+ years hands-on experience with Salesforce Data Cloud and/or custom database solutions
  • Salesforce Data Cloud Consultant certification (mandatory)
  • Proven hands-on experience with Salesforce Sales Cloud and Service Cloud
  • Experience with Salesforce Marketing Cloud Personalization (MCP/Evergage) highly desirable
  • Ability to transfer skills to Salesforce Personalization platform
  • 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 knowledge of Salesforce platform concepts such as LWC, Flows, and Apex
  • Experience with Data Actions, Flow integrations, and API utilization
  • Familiarity with cloud technologies (AWS, Azure, GCP) and data warehousing (Snowflake) is a significant advantage
  • Additional Salesforce certifications, especially Agentforce Specialist, are a major advantage
  • Bachelor's degree in Computer Science, IT, Marketing, or comparable experience

Tech stack

Salesforce Data CloudSalesforce Sales CloudSalesforce Service CloudSalesforce Marketing Cloud Personalization (MCP/Evergage)Salesforce Personalization (Einstein Personalization)Lightning Web Components (LWC)FlowsApexData ActionsAPI integrationsMuleSoftInformaticaSQLAWSAzureGCPSnowflake

Benefits

Medical, vision, and dental insuranceLife insuranceShort-term and long-term disability insurance401kFlexible paid time offAt least 15 paid holidays per yearPaid sick and safe leavePaid parental leaveCompliance with applicable state and local employee leave laws

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