Jobs → Data & Analytics → Salesforce Data Cloud QA Engineer

About the Role We are looking for an experienced Salesforce Data Cloud QA Engineer to validate end-to-end data ingestion, transformation, identity resolution, unified customer profiles, segmentation, and activation workflows. Key Responsibilities • Validate end-to-end data ingestion, transformation, identity resolution, unified customer profiles, segmentation, and activation workflows • Test DLO-to-DMO mapping, Identity Resolution, Calculated Insights, Segmentation, and Activation • Perform data validation, reconciliation, joins, and duplicate checks using SQL/SOQL • Test batch/real-time data ingestion, APIs, and data pipelines Requirements • 8+ years in Salesforce QA, with 1–2 years of Salesforce Data Cloud experience • Strong hands-on experience with Salesforce Data Cloud (formerly CDP) • Expertise in DLO-to-DMO mapping, Identity Resolution, Calculated Insights, Segmentation, and Activation testing • Advanced SQL/SOQL skills for data validation, reconciliation, joins, and duplicate checks • Experience testing batch/real-time data ingestion, APIs, and data pipelines • Familiarity with Jira, Xray, TestRail, or Azure DevOps • Salesforce Data Cloud Consultant certification is a strong plus • Exposure to Postman, Snowflake, AWS S3, or Python is an added advantage