Job Description
Salesforce is hiring a Success Architect, Data360 to help strategic customers unlock the full potential of Data Cloud and AI-powered CRM solutions. The position requires work on enterprise architecture and performance optimization while the employee must interact with executives to deliver business value through automated intelligent data integration systems.
Job ID: JR329410
Posted On: February 24, 2026
Qualification: Degree or equivalent experience in relevant technical or business field
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Main Duties
- Serve as a trusted Data Cloud subject-matter expert, advising enterprise customers on architecture, DevOps, performance, and solution optimization.
- Create and present original architectural designs that fulfill specific business needs while overcoming existing capability deficiencies.
- Connect with executive stakeholders by demonstrating how technical strategies result in measurable business value and return on investment and AI-based outcomes.
- Develop customized engagement playbooks which match Data Cloud use cases and advanced analytics projects.
- Develop and maintain effective partnerships with both internal teams and external strategic clients.
- Promote thought leadership while ensuring solutions adhere to data governance, privacy, and ethical AI standards.
Essential Qualifications:
- Minimum 2 Salesforce Data Cloud/CDP + AI implementation lifecycles.
- Have more than eight years of experience in enterprise consulting which includes work with Analytics and CDP system solutions.
- Advanced knowledge of data modeling and integration architecture together with governance standards.
- Help customers to develop their Data Cloud migration plan together with their optimization techniques.
- Displays excellent communication abilities which enable him to explain technical ideas in a way that business people can understand.
- Develop knowledge about the latest AI developments and data management tools.
- Proactive, self-driven, and capable of collaborating across remote global teams.
Preferred Qualifications:
- Experience in using Snowflake, Databricks, AWS, Google Cloud Storage, BigQuery and Azure for large-scale data platform management.
- Knowledge of using Customer Data Platforms which include Segment and Tealium, Adobe Experience Platform, Amperity and Treasure Data and Twilio Segment.
- Can successfully implement Salesforce multi-cloud environments which include Sales, Service and Marketing, Commerce and Industries Clouds.
- Knowledge about Salesforce Architecture Domains which include Integration, Identity & Access Management and Data Architecture and APEX Development.
- Candidates should have programming knowledge in Python, Java, .NET and SQL programming languages.