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, working directly with customer architects, data engineers, and platform owners to design scalable, secure, and performant solutions that integrate D360 with complex enterprise ecosystems.

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

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.

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.

Modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)

Data ingestion patterns (batch, streaming, CDC)

Identity resolution, data modeling, and graph‑based relationships Hands‑on proficiency with Python/R, data frameworks (DataFrames, pandas), and analytics workflows (Jupyter).

Robust 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.

Technical Skill Set Data Architecture Cloud data platforms: Snowflake, Databricks,



BigQuery, Redshift

Data modeling, identity resolution, entity relationships, D360 data graph design

Data quality, lineage, governance, and trust frameworks 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 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 Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. All employees or prospective employees 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 recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between.

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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. #

📌 Pre-Sales Data and AI Architect (Solution Engineering) (Toronto)
🏢 Centaur Labs
📍 Toronto