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27 days ago
Requirements and responsibilities
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.Role DetailsExperience: 8+ YearsBudget: 1.5 LPMWork Location: 100% RemoteShift Timings: 1:00 PM – 10:00 PM IST (Global Collaboration)Technical Expertise RequiredSalesforce Ecosystem: Deep experience with Salesforce Data Cloud (D360).AI & 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.Qualifications & SkillsCertifications:Salesforce Data Cloud Consultant or Developer (Required).Salesforce Administrator / Platform App Builder / PDI.PDII or Marketing Cloud certifications (Nice to have).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.Key ResponsibilitiesArchitect 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.If you have the 8+ years of experience and the technical stack we need, let’s talk!
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