Live opening · Posted 8 days ago
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Description supplied by the original job listing.
We are looking for a highly skilled Senior Data Cloud Engineer to join G10X. This is a remote-first opportunity for professionals who thrive at the intersection of Salesforce Data Cloud, AI, and enterprise data engineering.
Responsibilities:
Architect and implement robust data solutions within the Salesforce Data Cloud.
Develop Agentforce actions and flows to drive intelligent automation.
Manage end-to-end data pipelines and enterprise data platforms.
Enable advanced customer analytics and personalized journey orchestration.
Requirements:
Experience: 8+ Years.
Skills: Salesforce Data Cloud, D360 Agentforce, Python, Spark, AWS, Snowflake, GCP, Azure, MuleSoft, Marketing Cloud, and Data Engineering.
Domain Knowledge: Expertise in industries with complex data needs (Retail, FinServ, Healthcare, or Media).
Strategic Thinking: Strong understanding of customer journey orchestration and personalization use cases.
Delivery: Proven experience in Agile or product-led delivery models.
Technical Expertise Required:
Salesforce Ecosystem: Deep experience with Salesforce Data Cloud (D360).
AI and Automation: Hands-on experience with Agentforce (flows, actions, topics, and secure data access patterns).
Data Engineering: Proficiency in Python, Spark, or similar data engineering tools.
Cloud Platforms: Working knowledge of AWS, Snowflake, GCP, or Azure.
Integrations: Familiarity with MuleSoft or Marketing Cloud is highly preferred.
Certifications:
Salesforce Data Cloud Consultant or Developer (Required).
Salesforce Administrator / Platform App Builder / PDI.
PDII or Marketing Cloud certifications (Nice to have).
Experience
7-10 yrs
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