Job Summary (List Format):
Lead end-to-end Salesforce Data Cloud (D360/CDP) implementations for enterprise-scale customer data platforms
Architect and optimize data ingestion, modeling, and activation frameworks
Design and execute advanced identity resolution and segmentation strategies
Build calculated insights to support customer journey orchestration and personalization
Integrate Salesforce Data Cloud with various enterprise systems
Ensure adherence to best practices in data governance, security, and performance
Collaborate with cross-functional stakeholders and lead Agile delivery teams
Utilize robust hands-on skills in Salesforce Data Cloud, data modeling, identity resolution, segmentation, and Customer 360 architecture




Hold mandatory Salesforce Data Cloud Consultant/Developer certification; additional Salesforce and cloud certifications preferred
Apply expertise in Python, Spark, and major cloud platforms (AWS, Azure, GCP, Snowflake)
Leverage experience in data-heavy industries (Retail, BFSI, Healthcare, Media) and customer analytics platforms
Demonstrate robust programming capabilities and product-led delivery experience

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Cloud Engineer Noida (India)
🏢 Sparix Global
📍 India