Salesforce Data Solutions Implementation Architect

Quick Facts

• Role: Salesforce Data Solutions Implementation Architect

Description

Design and build reference implementations across Salesforce Data 360, Tableau, Agentforce, MuleSoft, Slack, Marketing Cloud Next, and the core Salesforce platform. Prove designs in working systems and address production challenges such as identity, access control, consent, governance, multi-region deployment, and reliability.

Responsibilities

• Design and build reference implementations across the Salesforce data and AI ecosystem

• Solve production challenges: identity, access control, consent, governance, multi-region deployment, and reliability

• Build governed data products and semantic models for analytics and AI agents; compare Salesforce with alternatives (e.g., Snowflake) based on tested requirements

• Document decisions and reusable patterns; mentor architects and engineers

Requirements

• Several years delivering complex enterprise implementations on Data 360 and the Salesforce platform in production

• Working knowledge of at least two of: Tableau, MuleSoft, Agentforce, Slack, Marketing Cloud Next

• Strong grounding in data architecture, security, governance, and cloud data platforms such as Snowflake

• Hands-on skill with APIs, infrastructure-as-code, and testing

• Credibility to advise senior leaders

Benefits

• Time off programs

• Medical, dental, vision, and mental health support

• Paid parental leave

• Life and disability insurance

• 401(k) and employee stock purchasing program