Senior Data Cloud Engineer

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).

Skills

AWS, Agentforce, Azure, GCP, Marketing Cloud, MuleSoft, Python, Salesforce, Snowflake, Spark