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Added 4 mins ago
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Director, Engineering
NielsenIQ
Toronto, ON
- $150,000 to $176,000 CAD / year
- Full-time
Ensure architectural decisions in the area are documented, consistent with enterprise standards, and aligned to the longer-term platform direction set by senior engineering leadership.
Added 19 mins ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 2 hours ago
OT
Lead Automation Architect
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
This is a senior individual contributor role with strong technical leadership influence, ideal for someone who enjoys working at the intersection of platform development, SRE, and…
Added 3 hours ago
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Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 4 hours ago
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Senior Manager, Organic Growth
Mistplay
Toronto, ON
- $120,000 to $165,000 CAD / year
- Full-time
Mistplay is seeking a strategic and hands-on Senior Manager of Organic Growth to help build and scale the organic acquisition engine for our fast-growing rewarded gaming platform. This…
Added 4 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 5 hours ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 5 hours ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 5 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 5 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 5 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 5 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 7 hours ago
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Senior Software Engineer - Card Network Integration
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is seeking a skilled Senior Software Engineer to join the Network File Integration team. In this role, you will help design and deliver scalable software solutions for batch and…
Added 7 hours ago
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 8 hours ago
RB
Senior Analyst, IT Risk Analytics & Reporting (Global Security)
Royal Bank of Canada
Toronto, ON
- Full-time
As the Senior Analyst, IT Risk Analytics & Reporting, you work with data enhancement, and governance of enterprise technology risk metrics. This role serves as a critical bridge between…
Added 8 hours ago
O
Principal Product Manager (Healthcare Solutions)
OpenText
Richmond Hill, ON
- Full-time
OpenText Business Network (OTBN) is a cloud-based platform that enables secure, compliant, and efficient collaboration across digital ecosystems of people, systems, and things. Our…
Added 8 hours ago
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Software Engineer – Master’s New Grad / Bachelor’s + 2–3 Years Experience
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
…from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data hub and identity middleware engine positioned between raw infrastructure/SaaS platforms and…
Added 8 hours ago
SL
Director, Domain Enterprise Architect, Technology Modernization and Cloudification
Sun Life Québec
Montreal, QC
- Full-time
…Architects, engineering leaders, cybersecurity, cloud engineering, AI platform teams, and application development, the Director aligns cloud migration with enterprise priorities, regulatory…
Added 8 hours ago
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Canada Technology Consulting - Business Platform Transformation Senior Director
Protiviti
Toronto, ON · Vancouver, BC
- Full-time
The Technology Consulting Practice is seeking a Senior Director to join our growing team and lead client transformation across the Quote to Cash ecosystem, including Configure, Price, Quote…
Added 9 hours ago
LI
VP of Engineering
Lasso Informatics
Montreal, QC
- Full-time
Lasso Informatics is hiring a VP of Engineering to lead the engineering group that builds and operates our research data management platform. Reporting to the CTO, you will lead how the…
Added 9 hours ago
K
Senior Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
- Full-time
…opportunity to work at the intersection of strategy, operations, data, technology, and AI, this is a strong platform to build…
Added 10 hours ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…

Salesforce Partner Canada

Technical Architect Director - PubSec - Mulesoft Canada

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 30, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Description

Director Technical Consulting- Mulesoft

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.

Reliability Clearance: Requires providing 5 years of verifiable work and residence history, generally from within Canada
Secret Clearance: Requires providing 10 years of verifiable work and residence history, generally from within Canada

Director Technical Consulting

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 thedata 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 like (Claude Code, Gemini, Lucid AI, NotebookLM) to compress delivery effort while raising quality and consistency, and you author the reusable IP - prompt templates, skills, and

agents - 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)

Strategic Advisory & Executive Alignment

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 (customer-360,

regulatory governance, analytics modernization, unstructured/RAG)

Represent the practice in the most complex, high-stakes engagements

Architecture Leadership

Set target-state architecture across Data 360 / Informatica IDMC / MuleSoft
Balance platform-agnostic and platform-centric execution - position Salesforce as the center of

gravity while integrating cleanly with the customer's existing multi-vendor technology

investments (data platforms, warehouses, lakes, and tools)

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

Delivery Oversight & Risk

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

AI-Augmented Delivery Leadership

Set the standard for AI-augmented professional services delivery - embed AI tools (Claude

Code, Gemini, Lucid AI, NotebookLM) across the full engagement lifecycle to compress effort and

raise quality

Define the practice's approach to capability-driven (not tool-centric) reusable assets - prompt

templates, skills, and agents that any consultant can run to deliver a capability

Establish measurable AI-acceleration targets and quality guardrails; institutionalize what works

into the playbook

Ensure human-at-the-helm governance so AI-accelerated delivery stays trusted, auditable, and

grounded

Industry Thought Leadership (Agentic SaaS Future)

Own the practice's point of view on the agentic future of the SaaS industry - where enterprise

data, AI agents, and the SaaS ecosystem are heading, and what it means for customers

Translate that vision into how we advise and deliver: reference architectures, POVs, and

forward-looking roadmaps for AI-ready, agent-native data foundations

Represent the practice externally and internally - publish POVs, brief executives, and shape the

market conversation

Bring experience-based thought leadership into engagements, positioning customers ahead of

the agentic shift

Delivery Leadership & Enablement

Author and evolve the Data Foundation Delivery Playbook, accelerators, and reference IP
Provide hands-on technical leadership to the engagement delivery team; guide Senior Advisors,

Architects, and Consultants on the account

Governance & Handoff

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 - identity resolution, match/merge, golden records
Master Data Management - domains, survivorship, hierarchies, 360 views
Unstructured Data Management - document ingestion, chunking, embeddings, RAG grounding
Data Architecture & Semantic Modeling - conceptual/logical/physical models, semantic layer,

glossary

Data Integration, Orchestration & Activation - API-led connectivity, CDC, real-time events,

activation

Data Trust, Security & Privacy - classification, access control, masking, Einstein Trust Layer
Data Governance & Stewardship - catalog, lineage, data quality, stewardship & policy
Industry Data Models & Accelerators - FSC, Health Cloud, Manufacturing Cloud blueprints
Data Platform & Infrastructure - lakehouse, compute, catalog, cloud foundation
Analytics, BI & Data Observability - dashboards, self-service BI, freshness/quality monitoring

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 (e.g., GDPR/CCPA/HIPAA)
Proven CxO-level advisory and the ability to lead multi-workstream delivery
Track record integrating a vendor platform into complex, heterogeneous enterprise landscapes

- balancing platform-agnostic (open-standards, multi-vendor) and platform-centric

(Salesforce-native) approaches

Deep fluency leading AI-augmented delivery - using AI tools as a core part of the workflow and

building reusable prompt/skill/agent assets

Recognized industry thought leadership on enterprise data, AI, and the agentic future of SaaS

(POVs, speaking, published perspectives)

Certifications

At this level, a proven delivery and thought-leadership track record carries the most weight - certifications are preferred, not required, but strengthen credibility with customers.

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 (data management / cloud data management)

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: Complete required certifications to be compliant and ready for customer

engagements

Customer Impact: Complete RAMP quickly to be billable and execute one or more customer

engagement

Architecture standard: consistent, governed, dual-purpose foundations delivered across the

portfolio

Business outcomes: clear business (not just technical) value realized and adopted
AI-augmented delivery: measurable acceleration and quality gains from AI tooling, with reusable

prompt/skill/agent assets adopted team-wide

Thought leadership: a defined, published practice POV on the agentic SaaS future that shapes

customer engagements and market positioning

Enablement: delivery teams on your engagements ramped and productive through your technical

leadership and reusable assets

Cloud/Platform Requirements: In addition to the above.

8 - 10 Years Experience Supporting Customers Using Mulesoft(required).

Experience with deep MuleSoft Anypoint Platform expertise
Strong understanding of how MuleSoft solves business problems:
API-led connectivity: Three-layer architecture enabling reusability and agility
Integration patterns: Real-time sync, batch processing, event-driven architectures
API Management: Governance, security policies, rate limiting
Deployment options: CloudHub vs Runtime Fabric - when to use each
Knowledge of MuleSoft + Salesforce integration (Salesforce Connector, Composer, Data Cloud)
Understanding of when to engage technical resources for complex integrations
Understanding of integration patterns with enterprise systems (SAP, Oracle, Workday, ServiceNow)
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 (any field), or a related quantitative discipline. Equivalent demonstrable work experience in lieu of a degree will be considered
Ability to convey and convince customers of best practices at various levels within a large organization
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 - being able to influence outcomes
Strong understanding of SDLC methodologies (Agile, SCRUM)

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 require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

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.

Apply About employer

More about this job

Responsibilities

Lead enterprise data foundation strategy, architecture, and customer delivery, advising executives and overseeing governed, secure, AI-ready solutions across Salesforce Data 360, Informatica IDMC, MuleSoft, and other enterprise platforms. Guide engagement quality and risk, establish AI-augmented delivery practices and reusable assets, and shape the practice’s thought leadership on the agentic future of SaaS.

Requirements

Requires 15+ years of hands-on data experience, deep expertise in at least one of Salesforce Data 360, Informatica IDMC, or MuleSoft, and a track record leading enterprise-scale data and AI-readiness programs. Candidates should bring executive advisory and multi-workstream delivery experience, strong governance and architecture expertise, AI-augmented delivery fluency, and 8–10 years supporting customers using MuleSoft; Canadian citizenship and eligibility to obtain government security clearance are required.

Skills

Data Architecture
Data Engineering
Master Data Management
Data Governance
Data Modeling
Semantic Modeling
Data Integration
MuleSoft Anypoint Platform
Salesforce Data 360
Informatica IDMC
API-Led Connectivity
AI-Augmented Delivery
Executive Advisory
Enterprise Architecture
Security and Privacy
Technical Leadership

Visa sponsorship

Not detected in the job text

Keywords

Salesforce
MuleSoft
MuleSoft Anypoint Platform
Salesforce Data 360
Informatica IDMC
Data Foundation
Data Architecture
Data Engineering
Master Data Management
Data Governance
Data Quality
Data Security
Data Privacy
API-Led Connectivity
API Management
Agentic AI
RAG
Claude Code
Gemini
Lucid AI
NotebookLM
Einstein Trust Layer
CloudHub
Runtime Fabric
Salesforce Connector
Agile
Scrum
TOGAF
Salesforce Certified Integration Architect
Canadian Government Security Clearance

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