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Added 3 months ago
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Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Agentic AI Architect or Sr. Architect - Intelligence Engineering (For Vacant Role)
Added 4 months ago
TA
AI and Integration Architect
Tiger Analytics
Canada
- Full-time
AI Strategy & Architecture: Define the technical blueprint and roadmap for enterprise AI adoption. Architect scalable frameworks for LLM integration, RAG, and predictive modeling, ensuring…
Added 3 months ago
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Senior Applied Machine Learning Developer, Asset Intelligence
MaintainX (An Autodesk Company)
Remote, Canada
- Full-time
- Remote
Architect end-to-end ML systems - from data ingestion and feature development to model training, deployment, and monitoring.
Added 3 months ago
S
Senior Data Engineer
ShyftLabs
Toronto, ON
- Full-time
…understand business objectives, define technical strategy, architect scalable cloud solutions, and lead engineering teams through successful delivery. The ideal candidate combines deep…
Added 4 months ago
S
Pre-Sales Data and AI Architect - Solution Engineering (Canada)
Salesforce
Toronto, Ontario
- Full-time
…technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade…
Added 5 months ago
C
Data Governance and Data Analytics Presales Solutions Architect
Centrilogic
Canada
- Full-time
Data Governance and Data Analytics Presales Solution Architect
Added 4 months ago
S
Master Data Management (MDM) - Principal
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
…data product ecosystems across modern platforms, including Databricks, Snowflake, Microsoft Fabric, and cloud-native…
Added 4 months ago
C
Data Privacy Technical Architect (BigID) (contract)
Capgemini
Calgary, Alberta
- Contract
Integrate BigID with enterprise platforms such as Azure, Databricks, and governance tools like Collibra.
Added 4 months ago
R
Principal Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
- Full-time
Architect and lead development of ML platforms on Azure Databricks
Added 3 months ago
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Senior Professional Services Consultant
Ataccama
Toronto, ON
- Full-time
Have several years in customer-facing or consulting roles (technical consultant, software consultant/architect, services presales) and have owned complex engagements independently
Added 2 months ago
Solutions Architect
Databricks
Toronto, ON
As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services.…
Added 4 months ago
C
Full Stack Java Developer Lead
CGI
Toronto, Ontario
- Full-time
Architect and implement cloud-native insurance platforms on AWS, Azure, or GCP.
Added 3 months ago
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Lead Solution Architect, Customer Analytics, EDW & AI
McKesson
Mississauga, ON
- Full-time
Job Title: Lead Solution Architect – Customer Analytics, Enterprise Data Warehouse & AI
Added 3 months ago
M
Principal Software Engineer
Morningstar
Toronto, ON
- Full-time
Architect the platform consolidation strategy, migrating legacy feed products onto a unified, governed, cloud-native architecture.
Added 3 months ago
Junior to Intermediate Data Engineer
Talents LGS
Montreal, QC
You will be supported in your professional development to progress toward an autonomous Data Engineer role and eventually toward a Data Architect or Data Specialist position.
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Toronto, Ontario
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, British Columbia
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 5 months ago
KC
Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Calgary, Alberta
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 1 month ago
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Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
Architect and oversee production grade data pipelines and model operationalization across a range of platforms, which may include credit decisioning and scoring platforms (for example,…
Added 5 months ago
LA
Value Engineer (Forward Deployed Engineer)
Lumi AI
Remote, Canada
- $100,000 to $120,000 USD / year
- Full-time
- Remote
…mission-critical operations on SAP, Oracle, Snowflake, and Databricks. They trust Lumi to find the insights their analyst teams…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
…primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
…primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s…
Added 3 months ago
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Global Lead, Digital Procurement
''
Toronto, Ontario
- Full-time
- Other
Acting as the architect and owner of the Global Digital Procurement Strategy and Roadmap, the Global Lead, Digital Procurement ensures that our technology ecosystem, data foundation, and…
Added 3 months ago
A
Part Time - Data Architect
Architech
Toronto, ON
- Part-time
Data Architect (Microsoft Azure / Microsoft Fabric / AWS/ Databricks)
Added 1 month ago
A
Tech Delivery Lead-AI&Data
Accenture
Toronto, ON
- Full-time
…the morning and a technical design review with a client Chief Architect in the afternoon and be equally credible in both rooms. As a Technology Delivery Lead within our AI-Ready Data tower,…

Salesforce

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

Toronto, ON, Canada

For Ontario-based roles, the base salary hiring range for this position is CAD 179,130 to CAD 229,130 annually. · Full-time

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Job details

Pay: For Ontario-based roles, the base salary hiring range for this position is CAD 179,130 to CAD 229,130 annually.
Job type: Full-time
Experience: 7+ years of hands-on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
Posting language: English
Posted: Jun 9, 2026

Original 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 Experience

Delivering customer success with Data + AI + CRM + Trust requires more than product expertise; it requires deep technical architecture leadership. The Data & AI Technical Architect is a senior, hands-on technical architect responsible for designing, validating, and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform.

This role sits at the intersection of data engineering, platform architecture, and applied AI. You will work directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 into complex enterprise ecosystems - including hyperscalers, data lakes, real-time pipelines, identity systems, and governance frameworks.

This role owns the technical architecture end-to-end: from deep discovery and system design, through hands-on validation, to production readiness and long-term scalability. Your work establishes the data foundation required for trusted AI, agentic workflows, and measurable business outcomes.

What You'll Actually Be Doing

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.

You're Our Person If...

You Bring Progressively Senior Technical Responsibility, Including

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 and be your best, and our AI agents accelerate your impact so you can do 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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

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.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

For Ontario-based roles, the base salary hiring range for this position is CAD 179,130 to CAD 229,130 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

This posting is to fill a vacancy on our team, unless otherwise noted.

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More about this job

Responsibilities

The role involves owning and driving the full technical lifecycle of data and AI architectures, from discovery and design to validation and production readiness. The architect will collaborate with various stakeholders to ensure scalable and secure solutions are implemented.

Requirements

Candidates should have over 7 years of experience in designing and delivering data and AI architectures, with a strong background in data engineering and platform architecture. A bachelor's degree in a technical field is required, with advanced degrees preferred.

Skills

Data Engineering
Platform Architecture
Technical Architecture
Cloud Data Platforms
Data Modeling
Identity Resolution
Real-Time Ingestion
Batch Ingestion
Python
R
Data Frameworks
Salesforce Architecture
Machine Learning
Analytics
Governance
Data Quality

Visa sponsorship

Not detected in the job text

Keywords

Salesforce
AI
CRM
Data Architecture
D360
Agentforce
Data Lakes
Real-Time Pipelines
Governance Frameworks
Snowflake
Databricks
BigQuery
Redshift
MDM
Python
R
Jupyter
Tableau
Looker
Power BI

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