Salesforce Data & AI Implementation Architect

Salesforce, Inc.; San Francisco (CA); On-site; USD 218,000 - 365,000; Full time

Benefits offered by this job

Time off

Medical

Dental

Vision

Mental health

Parental leave

Life insurance

Disability insurance

401(k)

Employee stock purchase plan

Job summary

Salesforce is seeking a Data Solutions Architect to design and implement enterprise data and AI solutions on Salesforce platforms, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next. You will tackle production challenges, build governed data products, document decisions, and mentor architects and engineers.

A few years delivering complex enterprise deployments and deep knowledge of Snowflake, security and governance are preferred.

Qualifications

• 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 and 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, and the credibility to advise senior leaders.

Responsibilities

• Design and build reference implementations across Salesforce products and core platform.
• Solve production challenges: identity, access control, consent, governance, multi-region deployment and reliability.
• Document decisions and reusable patterns, and mentor architects and engineers.

Skills

Data architecture

APIs

Infrastructure as code

Testing

Leadership

Snowflake

Security

Governance

Tools

Tableau

MuleSoft

Agentforce

Slack

Marketing Cloud Next

Snowflake

Job description

Salesforce is seeking a Data Solutions Architect to design and implement enterprise data and AI solutions on Salesforce platforms, including Data 360, Tableau, Agentforce, MuleSoft, Slack and Marketing Cloud Next. You will tackle production challenges, build governed data products, document decisions, and mentor architects and engineers.

A few years delivering complex enterprise deployments and deep knowledge of Snowflake, security and governance are preferred.