Pre-sales Data and AI Architect - Solution Engineering

Salesforce Salesforce · Enterprise · Toronto, ON

This role is a Pre-Sales Data and AI Architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. It involves working with customer architects and data engineers to integrate D360 into complex enterprise ecosystems, establishing the data foundation for trusted AI and agentic workflows. The role owns the technical architecture end-to-end, from discovery to production readiness, and partners with sales to shape technical close strategy.

What you'd actually do

  1. 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.
  2. Design and validate end-to-end data architectures integrating Salesforce D360 with enterprise systems (Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, and source systems).
  3. Own technical architecture decisions, including data modeling, identity resolution, real-time vs. batch patterns, data graph design, and activation strategies within D360.
  4. Partner with Account Executives to shape technical close strategy, grounded in architectural feasibility, scalability, and customer data realities.
  5. Execute hands-on technical validation (POCs, architectural walkthroughs, reference implementations) to de-risk complex deals and accelerate D360 adoption.

Skills

Required

  • 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)
  • Deep expertise in data ingestion patterns (batch, streaming, CDC)
  • Deep expertise in 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.

Nice to have

  • advanced degree preferred

What the JD emphasized

  • senior technical architect
  • hands-on experience designing and delivering data, analytics, and AI architectures
  • Deep expertise in: Modern cloud data platforms
  • 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.

Other signals

  • AI CRM
  • Agentforce platform
  • agentic workflows
  • trusted AI
  • data foundation for AI