Description

You will design and implement the data architecture using Salesforce Data Cloud as the central repository to support Customer 360 Data Manager.

Responsibilities

• Design data ingestion, transformation, and mapping strategies, including DLO to DMO mapping and custom Data Model Object development.
• Develop integration strategies to unify disparate sales, service, and marketing systems into a single source of truth.
• Implement AI-powered insights and real-time data processing using Salesforce native models for predictive analytics.
• Establish data governance, security frameworks, and cleansing workflows to ensure data integrity and compliance.
• Define functional architecture strategies, development standards, and roadmaps for Salesforce rollouts.

Required Skills

• 8+ years of relevant professional experience in Salesforce.com architecture.
• Expertise in Salesforce.com data models, role hierarchies, and security models.
• Hands-on experience with Salesforce Data Cloud and Data Lake implementation.
• Proficiency in SQL, Apex, Java, and Python.
• Strong understanding of data transformation logic, cleansing, and enrichment processes.
• Ability to design complex integration strategies across multi-platform environments.
• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science