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Emplo Inc.

Technical Architect Director - PubSec - Mulesoft Canada

Gatineau, QC, Canada

Job type: Full-time
Apply by: Oct 31, 2026
Posting language: English
Posted: Oct 1, 2026

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Original job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Customer Success

Job Details

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)

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More about this job

Responsibilities

Set the technical strategy and architecture for enterprise data foundation engagements, advise customer executives, and lead delivery across Salesforce Data 360, Informatica IDMC, and MuleSoft. Govern delivery quality and risk, embed security and privacy, establish AI-augmented delivery practices and reusable assets, and shape the practice’s thought leadership on agentic SaaS.

Requirements

Requires 15+ years of hands-on data experience and 8–10 years supporting customers using MuleSoft, with expertise in enterprise data platforms, architecture, integration, governance, and AI readiness. Candidates should demonstrate executive-level advisory and delivery leadership, strong MuleSoft Anypoint Platform knowledge, and preferably relevant Salesforce, MuleSoft, data management, or architecture certifications; a bachelor’s degree or equivalent experience is accepted.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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