SFDC Data Architect

Responsibilities

• Design overall data architecture strategy aligned with business objectives and Salesforce best practices

• Architect and implement integrations between Salesforce Data Cloud and enterprise systems

• Ensure data consistency and integrity across platforms

• Establish data governance practices for accuracy, quality, security, and compliance (GDPR, CCPA, etc.)

• Define scalable and maintainable data models within Salesforce Data Cloud

• Implement Salesforce Data Cloud for unified customer view and personalized engagement

• Integrate AI-driven analytics and predictive models leveraging Data Cloud insights

• Engage with Enterprise Architecture teams on Salesforce data modeling strategies

• Required Qualifications

• 8-10+ years in Salesforce / Enterprise Data Platforms

• 3+ years of hands-on experience in Salesforce Data Cloud

• Salesforce Certified Data Cloud Consultant (Must Have)

• Salesforce Application Architect or System Architect (At least one required)

• Deep understanding of Data Cloud architecture, objects, data models, data lake objects, harmonization, calculated insights, and identity resolution

• Expertise in Data Cloud Query Language (DQL) and advanced segmentation strategies

• Strong knowledge of data architecture, data governance, MDM, data lakes, and data warehousing concepts

Preferred Qualifications

• Familiarity with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks)

• Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures

• Proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud

• Experience with Einstein Studio and RAG-based retrievers

• Experience working with model builder and integrating external LLMs with Agentforce

• Required Skills & Technologies

• Primary Skills

• Salesforce Architect

• Salesforce Data Cloud

• Service Cloud

• Einstein Studio