Salesforce Data Cloud Engineer – Audience & Activation
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Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and optimize calculated insights, computed traits, and data model objects to enable audience segmentation and activation within Salesforce Data Cloud.
Develop and maintain complex SQL queries, data pipelines, and integrations across Salesforce Data Cloud, Snowflake, AWS, Azure, and GCP for real-time data ingestion, processing, and activation.
Ensure data quality, governance, consent management, and privacy compliance while troubleshooting issues and translating complex business requirements into scalable technical solutions.
Minimum Requirements
Minimum 4 years of professional experience in data engineering, cloud architecture, or related technical roles.
Hands-on expertise with Salesforce Data Cloud including Data 360, and practical experience configuring Data Extensions and Data Model Objects (DMOs).
Strong proficiency in SQL and working knowledge of cloud/data platforms such as Snowflake, AWS, Azure, or GCP.
Experience with real-time data processing (Data Streams), data quality, governance, and consent management; Full-time remote work from India possible.
Ideal Candidate Profile
Technical professional comfortable with complex integration challenges and translating business needs into robust data engineering solutions.
Experienced in operating within multi-cloud environments and handling real-time data ingestion and activation at scale within Salesforce ecosystems.
Capable of upholding strong data governance, privacy standards, and managing continuous data flows to ensure data accuracy, reliability, and compliance.