Salesforce Data Cloud Technical Architect
Core
Lead discovery and architecture of customer data strategies, designing scalable data architectures on Salesforce Data Cloud to enable AI-driven use cases and real-time data activation.
Role type
Senior IC Salesforce Data Cloud Technical Architect
Builds
Enterprise-level solution blueprints, integration frameworks, and reference architectures for Salesforce Data Cloud, MuleSoft, and Snowflake.
Domain
Enterprise data architecture, Salesforce ecosystem, Generative AI
Deliverable
production ML models | product features | infrastructure
Required skills
Data strategy, Data Cloud architecture (DLO/DMO), Identity resolution, Data modeling, Integration patterns, Cloud data platforms (Snowflake/Databricks/BigQuery/Redshift), Python, SQL
Preferred skills
Salesforce Data Cloud Architect certification, Tableau/Looker/Power BI, LLM/GPT use cases
Technologies
Salesforce Data Cloud, MuleSoft, Snowflake, Databricks, BigQuery, Redshift, Python, SQL, Tableau, Looker, Power BI
Responsibilities
Lead discovery and architecture of customer data strategies; Assess existing data ecosystems to define optimal Data Cloud architecture; Design scalable and secure data architectures on Salesforce Data Cloud; Develop enterprise-level solution blueprints and integration frameworks; Collaborate cross-functionally with data engineers, architects, and product managers; Serve as a trusted advisor to customers and Salesforce teams; Architect and oversee integrations between Salesforce Data Cloud, MuleSoft, and Snowflake; Own pre-sales architecture including solution demos and estimates; Evangelize the Salesforce Data Cloud vision; Explore and implement emerging AI capabilities including GPT and LLM-driven use cases.
Seniority
Senior, hands-on IC with strategic advisory