Job
Description
Position Summary Looking for a Salesforce Data Cloud Engineer to design, implement, and manage data integrations and solutions using Salesforce Data Cloud (formerly Salesforce CDP). This role is essential for building a unified, 360-degree view of the customer by integrating and harmonizing data across platforms. Job Responsibilities Consolidate the Customer data to create a Unified Customer profile Design and implement data ingestion pipelines into Salesforce Data Cloud from internal and third-party systems . Work with stakeholders to define Customer 360 data model requirements, identity resolution rules, and calculated insights. Configure and manage the Data Cloud environment, including data streams, data bundles, and harmonization. Implement identity resolution, micro segmentation, and activation strategies. Collaborate with Salesforce Marketing Cloud, to enable real-time personalization and journey orchestration. Ensure data governance, and platform security. Monitor data quality, ingestion jobs, and overall platform performance. Education BE/B.Tech Master of Computer Application Work Experience Overall experience of minimum 10 years in Data Management and Data Engineering role, with a minimum experience of 3 years as Salesforce Data Cloud Data Engineer Hands-on experience with Salesforce Data Cloud (CDP), including data ingestion, harmonization, and segmentation. Proficient in working with large datasets, data modeling, and ETL/ELT processes. Understanding of Salesforce core clouds (Sales, Service, Marketing) and how they integrate with Data Cloud. Experience with Salesforce tools such as Marketing Cloud. Strong knowledge of SQL, JSON, Apache Iceberg and data transformation logic. Familiarity with identity resolution and customer 360 data unification concepts. Salesforce certifications (e.g., Salesforce Data Cloud Accredited Professional, Salesforce Administrator, Platform App Builder). Experience with CDP platforms other than Salesforce (e.g., Segment, Adobe Experience Platform (Good to have)). Experience with cloud data storage and processing tools (Azure, Snowflake, etc.). Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Azure Data Factory Azure DevOps Azure SQL
