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Digital Marketing Data 360 - Consultant

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Ghost-risk verdict

Some ghost-posting signals

  • open for 53 days (30+ days starts to look stale)
  • 88 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

Key Responsibilities

Lead the implementation and configuration of Salesforce Data Cloud, including data ingestion, harmonization, and segmentation.

Design and manage data models and mappings to support a unified customer view.

Define and manage calculated insights, data transformations, and segmentation logic within Data Cloud.

Collaborate with business stakeholders to translate use cases into data requirements.

Ensure data quality, governance, and compliance within Data Cloud

Support testing, validation, and deployment of Data Cloud-enabled capabilities across markets

Monitor Data Cloud performance, usage, costs, and consumption-based metrics

Act as a subject matter expert for Data Cloud, advising IT leadership on roadmap implications, dependencies, and best practices

Data evaluation focused on quality and ability to support aligned organizational goals.

Required Skills

Strong hands-on experience with Salesforce Data Cloud (Data 360), including data ingestion, harmonization, identity resolution, and segmentation.

Experience with Salesforce Marketing Cloud (SFMC) and its integration with Data Cloud for customer engagement and activation use cases.

Advanced proficiency in SQL for data analysis, data transformation, calculated insights, and troubleshooting.

Experience designing and implementing API Integrations (REST/SOAP) between Salesforce Data Cloud and external enterprise systems.

Strong expertise in Reporting and Analytics, including creating dashboards, performance monitoring, data validation, and business insights.

Experience with data modeling, customer 360 solutions, and unified customer profile design.

Knowledge of ETL/ELT processes, data quality, governance, and master data management principles.

Ability to collaborate with business stakeholders and translate business requirements into scalable data solutions.

Experience working with cloud data platforms such as Snowflake, Databricks, AWS, or Azure is preferred.

Salesforce Data Cloud certification and SFMC certifications are highly desirable.

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