Pre-Sales Data and AI Architect - Solution Engineering (Canada)
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Key skills for this role
Role Overview
The Data and AI Technical Architect is a senior, hands-on technical architect responsible for enterprise-grade data and AI architectures centered on Salesforce D360 and Agentforce.
The role combines data engineering, platform architecture, applied AI, customer advisory, and solution engineering.
Key Skills for This Role
Full Job Posting
Role Overview
The Data and AI Technical Architect is a senior, hands-on technical architect responsible for enterprise-grade data and AI architectures centered on Salesforce D360 and Agentforce.
The role combines data engineering, platform architecture, applied AI, customer advisory, and solution engineering.
What You Will Do
- Own the technical lifecycle from discovery and system design through architecture validation, technical close, production readiness, and scalability.
- Design and validate D360 integrations with Snowflake, Databricks, BigQuery, Redshift, streaming platforms, MDM, identity systems, data lakes, and source systems.
- Make decisions on data modeling, identity resolution, ingestion patterns, data graph design, and activation strategies.
- Conduct proofs of concept, architecture walkthroughs, and reference implementations to de-risk complex deals.
- Create repeatable industry-specific reference architectures and high-fidelity technical assets.
- Advise customer data and architecture leaders and represent Salesforce technical perspectives at briefings and forums.
- Ensure architectures meet security, privacy, compliance, and trust requirements.
Experience and Education
- 7+ years of hands-on experience designing and delivering enterprise data, analytics, and AI architectures is required.
- Strong experience in data engineering, platform architecture, or technical architecture roles is required.
- A BS in computer science, engineering, data science, or an equivalent technical field is required.
- An advanced degree is preferred.
- Experience with complex distributed data ecosystems and activation platforms such as D360 is required.
Technical Skills
- Deep expertise in Snowflake, Databricks, BigQuery, Redshift, data modeling, identity resolution, entity relationships, and D360 data graph design is required.
- Experience with batch, real-time, and hybrid ingestion, data quality, lineage, governance, and trust frameworks is required.
- Hands-on proficiency with Python or R, DataFrames, pandas, Jupyter, data wrangling, and feature preparation is required.
- Experience with applied machine learning concepts, AI-readiness architecture, and analytics or BI tools is required.
- Deep hands-on knowledge of Salesforce architecture, D360, core Salesforce services, and scalable secure solutions is required.
Stakeholder Leadership
The role requires guiding architectural discussions with senior technical stakeholders and influencing platform and data strategy decisions.
The architect must translate complex technical concepts into clear guidance for technical and executive audiences and operate effectively in matrixed organizations.
Compensation
- For Ontario-based roles, the base salary hiring range is CAD 179,130 to CAD 229,130 annually.
- The range represents base salary only and excludes bonus, sales incentives, equity, and benefits where applicable.
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