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Niche Salesforce Data Cloud CDP skillset plus senior requirement limits applicant pool.
Strong dependence on Salesforce Data Cloud and CDP-specific integrations increases domain-specific hiring bias.
Explicit 10+ years and many mandatory Salesforce CDP, integration, and data engineering skill requirements.
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Design, build, and optimize scalable Salesforce Data Cloud customer data solutions including unified customer profiles, identity resolution, segmentation, and activation across marketing, commerce, and service platforms.
Develop and maintain event-driven customer data pipelines and integrations with enterprise cloud data platforms (Snowflake, Databricks, AWS, Azure) using APIs, Mulesoft, Kafka, and cloud messaging.
Lead development of AI-powered customer engagement solutions leveraging Salesforce Agentforce, Einstein AI, and Marketing Cloud Personalization with responsibility for secure, compliant customer data governance.
10+ years software and data engineering experience focused on customer data platforms, CRM, or marketing technology.
3-4 years hands-on experience with Salesforce Data Cloud (Data 360) or other enterprise CDPs including identity resolution and unified customer profile development.
Proficiency with cloud data platforms (Snowflake, Databricks, AWS, Azure), APIs (REST, GraphQL), ETL/ELT pipelines, and data integration technologies (Mulesoft, Kafka, Kinesis).
Bachelor's degree in Computer Science, Engineering, or related technical field.
Experienced in implementing complex, enterprise-level Salesforce Data Cloud solutions integrated within multi-cloud and multi-platform environments.
Strong background in AI-powered personalization and customer engagement using Salesforce AI tools and Marketing Cloud Personalization.
Proven ability to design, lead, and optimize scalable data engineering and software development practices in Agile environments with cross-functional collaboration.