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Salesforce

Technical Architect Director – PubSec, Mulesoft

Salesforce

. Own strategy, architecture, and successful delivery of enterprise Data Foundation engagements .

Posted 9/30/2026full-timeRemote • CanadaLead💰 CA$130,300 - CA$180,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in data architecture, engineering, and governance, with a strong focus on AI-augmented delivery and integration across platforms like MuleSoft and Salesforce. Proven ability to advise CxO-level executives and lead complex, multi-workstream engagements while ensuring compliance with data governance and security standards.

Highest-signal resume keywords
15+ Years Data ExperienceMuleSoft Anypoint Platform ExpertiseData Governance and QualityAI-Augmented Delivery LeadershipMultiple MuleSoft Certifications

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ArchitectureData EngineeringMaster Data Management (MDM)IntegrationAPI ManagementEvent-Driven ArchitecturesReal-Time SyncBatch ProcessingData ModelingSemantic/Metadata Modeling
Soft Skills
Executive PresenceInfluencing OutcomesAdvisory SkillsCommunication
Tools & Technologies
Salesforce Data 360Informatica IDMCMuleSoftClaude CodeGeminiLucid AINotebookLMMuleSoft RPA
Certifications & Qualifications
MuleSoft Developer CertificationMuleSoft Integration Architect Associate CertificationSalesforce CTA Certification
Industry Keywords
GDPRCCPAHIPAAAI DeliverySaaSAPI-Led ConnectivityAgileSCRUM

Tech Stack

Tools & technologies
InformaticaOracleRPASDLCServiceNow

About the role

Key responsibilities & impact
  • Own strategy, architecture, and successful delivery of enterprise Data Foundation engagements
  • Set the technical vision for governed, AI-ready data foundations
  • Advise customer executives at the CxO level and shape data strategy and business cases
  • Lead executive discovery, maturity assessments, and phased customer-calibrated roadmaps
  • Represent the practice in complex, high-stakes engagements
  • Set target-state architecture across Salesforce Data 360, Informatica IDMC, and MuleSoft
  • Balance platform-agnostic and Salesforce-native execution with customers’ existing technology investments
  • Approve architecture decisions and validate them through scoped proofs of concept
  • Provide architectural governance and quality assurance across concurrent engagements
  • Own delivery risk, executive buy-in, business engagement, scope, and dependency management
  • Embed security, privacy, governance, and quality controls from project inception
  • Establish AI-augmented professional services delivery using Claude Code, Gemini, Lucid AI, and NotebookLM
  • Define reusable prompt templates, skills, agents, accelerators, and delivery IP
  • Establish AI acceleration targets, quality guardrails, and human oversight
  • Shape and publish the practice’s point of view on the agentic future of SaaS
  • Create reference architectures, POVs, and forward-looking roadmaps
  • Represent the practice externally and internally and brief executives
  • Author and evolve the Data Foundation Delivery Playbook
  • Provide hands-on technical leadership to Senior Advisors, Architects, Consultants, and engagement teams
  • Establish stewardship, RACI, sustainable operating models, and executive-ready engagement summaries
  • Complete certification, customer impact, architecture, business outcome, AI delivery, thought leadership, and enablement goals during the first 12 months

Requirements

What you’ll need
  • Canadian citizenship required; permanent residents are not eligible for the required Canadian Government Security Clearance
  • Ability to obtain and maintain a Canadian Government Security Clearance
  • Reliability Clearance requires 5 years of verifiable work and residence history, generally from within Canada
  • Secret Clearance requires 10 years of verifiable work and residence history, generally from within Canada
  • 15+ years of deep, hands-on data experience across data architecture, engineering, MDM, integration, and governance
  • 8–10 years of experience supporting customers using MuleSoft
  • Deep expertise in MuleSoft Anypoint Platform
  • Deep expertise across one or more of Salesforce Data 360, Informatica IDMC, or MuleSoft
  • Authority-level data modeling and semantic/metadata modeling
  • Strong command of data governance, quality, security, and privacy, including GDPR/CCPA/HIPAA
  • Proven CxO-level advisory and ability to lead multi-workstream delivery
  • Experience integrating vendor platforms into complex heterogeneous enterprise landscapes
  • Fluency leading AI-augmented delivery using AI tools and reusable prompt/skill/agent assets
  • Recognized thought leadership on enterprise data, AI, and the agentic future of SaaS
  • Experience with API-led connectivity, real-time sync, batch processing, event-driven architectures, API management, and deployment options
  • Knowledge of MuleSoft–Salesforce integration and enterprise systems such as SAP, Oracle, Workday, and ServiceNow
  • Familiarity with MuleSoft RPA capabilities
  • Multiple MuleSoft certifications, including Developer and Integration Architect Associate
  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline preferred; equivalent demonstrable work experience in lieu of a degree considered
  • Application design and development background
  • Strong understanding of SDLC methodologies, Agile, and SCRUM
  • Salesforce CTA certification or progress toward obtaining it preferred
  • Experience managing large full life-cycle Salesforce implementations
  • Executive presence and ability to influence outcomes
  • Ability to convey and convince customers of best practices at various organizational levels

Benefits

Comp & perks
  • Salesforce benefits and resources supporting balance and wellbeing
  • AI agents and tools to accelerate impact
  • Reasonable accommodations during the application or recruiting process
  • Equal opportunity and non-discrimination protections
  • AI-assisted recruiting assessment with human decision-making and candidate privacy/opt-out information