Salesforce
AI CRM
Data360SolutionEngineer/Architect
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“Data 360 Solution Engineer/Architect at Salesforce. Skills: Data 360, Salesforce, AI, Analytics. Partner with Account Executives to develop use cases. Contribute to workshops, POCs, and POTs”
What You'll Achieve.
helping our customers become a true Agentic Enterprise
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience in customer-facing solutioning for Data, Analytics, AI, Marketing, or CRM, Deep knowledge of Data 360 and the Salesforce Agentforce product suite, understanding of data integration patterns, APIs, data governance principles, and industry-specific use cases, Excellent communication and stakeholder management skills, Fluency in English and French
Nice to Have
Experience with Big Data processing, Data Architecture and Modeling, and modern data lakehouse, familiarity with at least one of AWS, Microsoft Azure, or GCP, and platforms like Databricks or Snowflake, Salesforce Agentblazer Legend Status (which includes AI Specialist certification) and Data 360 Consultant certification, Experience with AI concepts including Large Language Models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and agentic frameworks and orchestration, Track record of delivering impactful assets, demonstrations, and prototypes in complex, pressurized customer environments
What You'll Do.
Partner with Account Executives to develop use cases
Contribute to workshops
Define data architectures and product recommendations
Collaborate with product teams on roadmap priorities
Guide customers from POC to production deployment
Monitor credit consumption and provide optimization guidance
Develop and deliver enablement motions
Manage strategic handoff to internal teams
How You'll Work.
Team & Collaboration
Partner with Account Executives; Work with core Technical Architects and global AI & Data teams; Collaborate with Salesforce product teams; Partnering with implementation partners, Salesforce Professional Services, or the customer's own Center of Excellence; Coordination with Consumption Leads and Data 360 Account Executives (AEs); Manage strategic handoff to internal teams — including Field Delivery Experts, Professional Services, and Customer Success Managers
Communication Scope
Excellent communication and stakeholder management skills; build trust across both technical and business audiences; Fluency in English and French
Full Job Description
_To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts._ Job Category Sales Job Details ****About Salesforce**** Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Data 360 Solution Engineer/Architect is a customer-facing role with one goal: helping our customers become a true Agentic Enterprise. As our Subject Matter Expert (SME) for Data 360 — Salesforce's flagship hyperscale data platform — you'll serve as a strategic technical advisor across the full customer lifecycle, from presales through production activation. Based on your background, your focus may span Analytics (Tableau), Marketing Cloud (MC), or Data 360 integrations with platforms like Google Cloud Platform (GCP), Databricks, or Snowflake. Responsibilities: Pre-Sales: * Partner with Account Executives to develop Analytics, Marketing, and Data Platform use cases grounded in repeatable, proven architectures. * Contribute to workshops, Proof of Concepts (POCs), and Proof of Technologies (POTs) that showcase the power of our platform for customer-specific use cases. * Work with core Technical Architects and global AI & Data teams to define data architectures, product and licensing recommendations, and credit consumption estimates. * Collaborate with Salesforce product teams to share Voice of the Customer feedback and inform roadmap priorities. Post-Sales: * Gu
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