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

Salesforce
Toronto
Workplace: HybridFull timeCAD 179,130 - 229,130 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Problem-solving","Stakeholder management","Presentation"]

Senior, hands-on technical architect leading data and AI architecture designs for enterprise environments, integrating Salesforce D360 with external systems (Snowflake, Databricks, BigQuery, Redshift) across on-premises and cloud ecosystems. You’ll own end-to-end technical lifecycle from discovery to production readiness, working with customer architects and Salesforce product teams to drive scalable, secure, and trusted AI architectures.

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FursaFursa
Salesforce
Salesforce
4 months ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Senior, hands-on technical architect leading data and AI architecture designs for enterprise environments, integrating Salesforce D360 with external systems (Snowflake, Databricks, BigQuery, Redshift) across on-premises and cloud ecosystems. You’ll own end-to-end technical lifecycle from discovery to production readiness, working with customer architects and Salesforce product teams to drive scalable, secure, and trusted AI architectures.
Location: Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Director level

Key Responsibilities

  • •Own and drive the full technical lifecycle from deep technical discovery and system design to architecture validation and technical close.
  • •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.

Pay and Benefits

Salary: CAD 179,130 - 229,130 annually

Key Requirements

  • •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); identity resolution, data modeling, and graph-based relationships
Experience:7+ yearsEnterpriseAIData engineering
Education:Bachelor's in Computer Science
Skills:CommunicationLeadershipProblem-solvingStakeholder managementPresentation
Tech Stack:SnowflakeDatabricksBigQueryRedshiftPythonRJupyterTableauLookerPower BID360Salesforce

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
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