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

Leadout Capital; Toronto; On-site; CAD 160,000 - 230,000; Full time

Job summary

Salesforce seeks a senior Data & AI Technical Architect to lead end-to-end data and AI architectures centered on D360. You will collaborate with customers to design scalable, secure, and performant integrations across Snowflake, Databricks, and other platforms.

You will own architectural decisions, drive POCs, and produce governance models while aligning with Salesforce product roadmaps. Strong leadership and communication are essential.

Qualifications

• 7+ years in data, analytics, and AI architectures for enterprise environments.
• Experience with activation platforms like D360 or similar.
• BS in CS/Engineering/Data Science; advanced degree preferred.
• Strong communication with senior technical stakeholders.

Responsibilities

• Own full lifecycle from discovery to architecture validation for D360 deployments.
• Design end-to-end data architectures integrating D360 with Snowflake, Databricks, BigQuery, Redshift.
• Decide on data modeling, identity resolution, real-time vs batch patterns.
• Collaborate with Account Execs to shape technical close strategy.
• Lead hands-on validation (POCs, walkthroughs) to de-risk deals.
• Define scalable reference architectures on D360.
• Align roadmap with Salesforce Product & Engineering teams.
• Present as technical authority in escalations and exec discussions.
• Produce architecture diagrams, demos, governance models for field teams.
• Advise CIOs, Enterprise Architects, and Platform Owners.
• Ensure security, privacy, compliance, and trust in D360 architectures.
• Represent Salesforce's technical POV at customer briefings.

Skills

Data Architecture

Cloud Platforms

D360 Expertise

Python/R

Jupyter

AI/ML Concepts

Salesforce Platform

Stakeholder Management

Education

BS in Computer Science or related

Advanced degree preferred

Tools

Snowflake

Databricks

BigQuery

Redshift

Tableau

Power BI

MDM

Git

Job description

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.