Pre-Sales Data and AI Architect - Solution Engineering (Canada)

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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.

• Own and drive the full technical lifecycle, from deep technical discovery and system design to architecture validation and technical close, across in-person and virtual engagements.
• Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems).
• Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
• Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities.
• Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption.
• Define repeatable industry-specific reference architectures built on D360 that scale across accounts and drive consistent outcomes.
• Collaborate deeply with Salesforce Product & Engineering teams to influence roadmap through high-signal Voice of the Customer feedback and validate architectural patterns against upcoming D360 capabilities.
• Act as a technical authority during escalations, architecture reviews, and executive-level design discussions.
• Produce high-fidelity technical assets (architecture diagrams, Demos, governance models, activation patterns) used by field teams, partners, and customers.
• Serve as a trusted technical advisor to customer Chief Data Officers, Enterprise Architects, and Platform Owners.
• Ensure D360 architectures align to security, privacy, compliance, and trust requirements—especially in regulated industries.
• Represent Salesforce's technical point of view for modern data and AI architectures, with D360 as the system of activation, at customer briefings and technical forums.

• 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
• Strong background in data engineering, platform architecture, or technical architecture roles (pre-sales or post-sales).
• BS in Computer Science, Engineering, Data Science, or equivalent technical field (advanced degree preferred).
• Proven experience integrating complex, distributed data ecosystems with activation platforms like D360 to drive business outcomes.
• Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift), data ingestion patterns (batch, streaming, CDC), and identity resolution, data modeling, and graph-based relationships.
• Hands-on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter).
• Strong technical fluency with Salesforce platform architecture, including D360 and core Salesforce services.
• Experience guiding architectural conversations with senior technical stakeholders and influencing platform and data strategy decisions.
• Ability to translate complex technical concepts into clear architectural guidance for both technical and executive audiences.
• Experience operating in large, matrixed organizations with complex stakeholder environments.
• Technical Skill Set — Data Architecture: Cloud data platforms (Snowflake, Databricks, BigQuery, Redshift); data modeling, identity resolution, entity relationships, D360 data graph design; batch, real-time, and hybrid ingestion patterns into D360; data quality, lineage, governance, and trust frameworks.
• Technical Skill Set — AI & Analytics: Python/R, Jupyter, data wrangling, feature preparation; applied machine learning concepts and AI-readiness architecture on top of D360; analytics and BI tools (Tableau, Looker, Power BI).
• Technical Skill Set — Salesforce Platform: Deep hands-on knowledge of Salesforce architecture; Salesforce Admin / Advanced Admin-level proficiency; experience designing scalable, secure solutions using D360 as the activation layer across Salesforce Clouds.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

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