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Niche Salesforce Data Cloud skills reduce pool, but metro location and known brand increase applicants.
Role requires niche CDP and Salesforce Data Cloud expertise, limiting transferability across industries.
Explicit 10+ years requirement plus multiple mandatory Salesforce Data Cloud and integration skills make filters highly strict.
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Design, develop, and optimize Salesforce Data Cloud solutions powering unified customer profiles, AI-driven personalization, and omnichannel customer engagement.
Build and maintain scalable data pipelines, identity resolution, segmentation, and activation workflows across Marketing, Commerce, CRM, and service platforms.
Collaborate globally with Marketing CRM, Digital Commerce, Analytics, and Engineering teams to implement scalable, privacy-compliant customer data solutions using cloud-native integrations.
10+ years of software and data engineering experience focusing on customer data platforms, CRM, and enterprise data integrations.
3-4 years hands-on experience with Salesforce Data Cloud and related SaaS platforms including Marketing Cloud, Service Cloud, Commerce Cloud, and AI-powered engagement tools like Agentforce and Einstein AI.
Proficiency with cloud data platforms (Snowflake, Databricks, AWS, Azure), ETL/ELT, APIs (REST, GraphQL), and integration technologies (Mulesoft, Kafka, Kinesis).
Bachelor's degree in computer science, engineering, or related technical field.
Experienced in architecting and delivering enterprise-scale Customer Data Platform (CDP) solutions in agile, cross-functional, and multi-regional environments.
Strong expertise in Salesforce ecosystem integrations and real-time data engineering pipelines enabling AI-personalization and customer 360 initiatives.
Technical leadership skills including mentoring, code reviews, CI/CD automation, and adherence to data privacy and governance compliance (GDPR, CCPA).