Technical Architect Director in Toronto

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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.

Security Clearance: This position requires the ability to obtain and maintain a Canadian Government Security Clearance. Candidates must be Canadian citizens — permanent residents are not eligible for this clearance level. Candidates are not required to hold an active clearance at the time of application or interview; however, the successful candidate must be a Canadian citizen and eligible to obtain clearance as a condition of employment.

About Salesforce & Role Summary

The Director, Data Foundation Delivery is a senior leader who owns the strategy, architecture, and successful delivery of enterprise Data Foundation engagements for Salesforce Professional Services customers. Drawing on 15+ years of deep data experience, you set the technical vision, advise customer executives at the CxO level, and lead the delivery of a governed, AI-ready data foundation across a progressive, customer-calibrated maturity journey.

You are the definitive authority on bringing the Data Foundation Delivery to life including core data capabilities, associated frameworks, and ability to operate across one or more of the platform stack (Salesforce Data 360, Informatica IDMC, MuleSoft). As a Salesforce leader, you help customers bring the Salesforce ecosystem into the broader landscape of technology investments they have already made — directing both platform-agnostic execution (interoperable, open-standards, multi-vendor) and platform-centric execution (Salesforce-native), so the data foundation fits the customer's reality rather than forcing a single stack.

Every foundation is built with governance, quality, security, and privacy embedded from day one, and serves both traditional analytics for people and agentic AI for machines. Above all, you champion AI-based professional services delivery: you set the standard for how engagements use AI tools to compress delivery effort while raising quality and consistency, and you author the reusable IP that scales delivery.

You are an industry thought leader who shapes the practice's point of view on the agentic future of the SaaS industry, translating where enterprise data, AI agents, and the SaaS ecosystem are heading into how we advise and deliver for customers today. This is a customer-billable delivery role — a senior individual contributor accountable for engagement outcomes and hands-on technical leadership, not an internal people-management position.

What You Will Do (Key Responsibilities)

• Serve as trusted advisor to customer CxOs; shape data strategy and the business case.
• Own executive discovery, maturity assessment, and the phased, customer‑calibrated roadmap.
• Frame guidance as adaptable options, meeting customers at their entry point.
• Represent the practice in the most complex, high‑stakes engagements.
• Set target‑state architecture across Data 360 / Informatica IDMC / MuleSoft.
• Balance platform‑agnostic and platform‑centric execution.
• Approve architecture decisions; validate through scoped POCs before production build.
• Ensure value is delivered every phase (no big‑bang), with governance‑first discipline.
• Guarantee dual‑consumption design: analytics for people and agentic AI for machines.
• Provide architectural governance and quality assurance across concurrent engagements.
• Own delivery risk: exec buy‑in, business engagement, scope, and dependency management.
• Ensure security, privacy, and governance controls are embedded from the start.
• Define the practice's approach to capability‑driven reusable assets.
• Establish measurable AI‑acceleration targets and quality guardrails.
• Ensure human‑at‑the‑helm governance so AI‑accelerated delivery stays trusted, auditable, and grounded.
• Own the practice's point of view on the agentic future of the SaaS industry.
• Translate that vision into how we advise and deliver.
• Represent the practice externally and internally.
• Bring experience‑based thought leadership into engagements.
• Author and evolve the Data Foundation Delivery Playbook, accelerators, and reference IP.
• Provide hands‑on technical leadership to the engagement delivery team.
• Establish stewardship, RACI, and sustainable customer operating models.
• Ensure executive‑ready summaries accompany deep technical detail on every engagement.

What You Bring (Preferred Experience)

• Unified Identity & Harmonization.
• Master Data Management.
• Unstructured Data Management.
• Data Architecture & Semantic Modeling.
• Data Integration, Orchestration & Activation.
• Data Trust, Security & Privacy.
• Data Governance & Stewardship.
• Industry Data Models & Accelerators.
• Data Platform & Infrastructure.
• Analytics, BI & Data Observability.

Required Qualifications

• 15+ years of deep, hands‑on data experience across data architecture, engineering, MDM, integration, and governance.
• Demonstrated leadership of enterprise‑scale data platform and AI‑readiness programs.
• Deep expertise across one or more of Salesforce Data 360, Informatica IDMC, MuleSoft.
• Authority‑level data modeling and semantic/metadata modeling.
• Strong command of data governance, quality, security, and privacy.
• Proven CxO‑level advisory and the ability to lead multi‑workstream delivery.
• Track record integrating a vendor platform into complex, heterogeneous enterprise landscapes.
• Deep fluency leading AI‑augmented delivery.
• Recognized industry thought leadership on enterprise data, AI, and the agentic future of SaaS.

Preferred Certifications

• Salesforce Data Cloud Consultant.
• Salesforce Certified Data Architect.
• Salesforce Agentforce Specialist.
• Salesforce Certified Integration Architect.
• TOGAF.

Additional Pluses

• Informatica IDMC / MDM certification.
• MuleSoft Certified Integration Architect.
• DAMA CDMP or CDMC.

Preferred / Differentiating Strengths

• Track record delivering agentic AI / RAG on a governed data foundation.
• Deep industry expertise in Financial Services, Healthcare, or Manufacturing.
• History of building delivery IP, accelerators, and prompt/skill/agent libraries.
• Extensive Professional Services / customer‑facing leadership at enterprise scale.

How Success Is Measured (First 12 Months)

• Certification Attainment.
• Customer Impact.
• Architecture standard.
• Business outcomes.
• AI‑augmented delivery.
• Thought leadership.
• Enablement.

Cloud/Platform Requirements:

• 8 - 10 years experience supporting customers using Mulesoft (required).
• Experience with deep MuleSoft Anypoint Platform expertise.
• Strong understanding of how MuleSoft solves business problems.
• Knowledge of MuleSoft + Salesforce integration.
• Understanding of when to engage technical resources for complex integrations.
• Familiarity with MuleSoft RPA capabilities.
• Multiple MuleSoft certifications (Developer + Integration Architect Associate).

Preferred Qualifications:

• Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related quantitative discipline.
• Ability to convey and convince customers of best practices.
• Application design and development background.
• Have CTA certification or are in the process of getting the CTA.
• Experience managing large full life‑cycle Salesforce Implementations.
• Executive Presence.
• Strong understanding of SDLC methodologies.

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.

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