Data 360 Solution Engineer/Architect

Job Category: Sales

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.

Data 360 Solution Engineer/Architect

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.

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.

Responsibilities – Post‑Sales

• Guide customers from successful POC to full production deployment, partnering with implementation partners, Salesforce Professional Services, or the customer's own Center of Excellence.
• Monitor credit consumption in coordination with Consumption Leads and Data 360 Account Executives (AEs), providing optimization guidance as needed.
• Develop and deliver one‑to‑many enablement motions (e.g., webinars, office hours) to scale knowledge and best practices.
• Manage strategic handoff to internal teams — including Field Delivery Experts, Professional Services, and Customer Success Managers — at the appropriate time.

Required Qualifications

• 5+ years of experience in customer‑facing solutioning for Data, Analytics, AI, Marketing, or CRM (a combination of these is fine).
• Deep knowledge of Data 360 and the Salesforce Agentforce product suite, including data modeling, ingestion, and identity resolution.
• Strong understanding of data integration patterns, APIs, data governance principles, and industry‑specific use cases.
• Excellent communication and stakeholder management skills, with the ability to build trust across both technical and business audiences. Fluency in English and French required.

Preferred Qualifications

• Experience with Big Data processing, Data Architecture and Modeling, and modern data lakehouse concepts; 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.

Equal Employment Opportunity

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.