Description

You will develop and maintain data solutions within the Salesforce ecosystem.

Responsibilities

• Design, develop, and maintain scalable data pipelines, ETL processes, integrations, and APIs between Salesforce and external systems.
• Optimize data ingestion and transformation processes aligned with Salesforce data architecture best practices.
• Lead the data modeling strategy across Salesforce Clouds, including Public Sector Cloud, Service Cloud, and Experience Cloud.
• Design and deploy AI-powered agents interacting with Salesforce data for decision support and workflow automation.
• Coordinate the implementation of data governance frameworks and best practices across client Salesforce data ecosystems.

Required Skills

• 9+ years of professional experience.
• Expertise in ETL processes.
• Proficiency in Salesforce Platform Developer skills.
• Experience defining data storage, normalization, and performance strategies in Salesforce.
• Knowledge of data migration, deduplication, and cleansing efforts.
• Ability to collaborate on integrating predictive models and generative AI assistants within Salesforce environments.
• Experience defining and enforcing data standards, naming conventions, and stewardship models.
• Familiarity with Salesforce data architecture principles.

Key Skills

Education

Any Gradute