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Salesforce Technical Lead Data Cloud Agentforce

  • ... Posted on: Jan 30, 2026
  • ... VDart Inc
  • ... Mississauga, Ontario
  • ... Salary: Not Available
  • ... Full-time

Salesforce Technical Lead Data Cloud Agentforce   

Job Title :

Salesforce Technical Lead Data Cloud Agentforce

Job Type :

Full-time

Job Location :

Mississauga Ontario United States

Remote :

No

Jobcon Logo Job Description :

Role: Salesforce Technical Lead (Data Cloud & Agentforce)

Location: Mississauga, ON - Hybrid
Mode: Contract

Position Overview

We are seeking an experienced Salesforce Technical Lead with deep expertise in Data Cloud, Agentforce, and enterprise-scale Salesforce architecture. This role owns the technical design standards, ensures architectural alignment, leads development teams, resolves complex issues, and drives high-quality, scalable, and secure Salesforce solutions. The Technical Lead will work closely with architects, developers, and business stakeholders to build and optimize the enterprise Salesforce ecosystem.

Key Responsibilities

Technical Leadership & Architecture Alignment

  • Own and define technical design, guardrails, and implementation standards for Data Cloud and Agentforce.
  • Ensure solution designs align with enterprise architecture, platform roadmap, and Salesforce best practices.
  • Lead technical evaluations, feasibility studies, and design workshops.

Enterprise Hub & Multi-Org Architecture

  • Set up and manage the Enterprise Org Hub to support multi-org, multi-cloud, and scalable architectural patterns.
  • Define integration and governance models for connected enterprise experiences.

Data Cloud Expertise

  • Lead the implementation of Salesforce Data Cloud, including data ingestion, harmonization, identity resolution, and activation.
  • Oversee data pipelines, transformation logic, and performance tuning in Data Cloud.
  • Operationalize Data Cloud for analytics, personalization, and AI-driven automation.

Agentforce (AI) Leadership

  • Develop and deploy Agentforce AI use cases on the enterprise hub org leveraging Data Cloud signals.
  • Ensure responsible and compliant usage of Salesforce AI.
  • Build AI-enabled workflows and intelligent automations.

Integration & Enterprise Connectivity

  • Architect integrations using APIs, platform events, and middleware tools.
  • Ensure integration patterns meet performance, reliability, and scalability standards.

Governance, CoE & Optimization

  • Define technical guardrails, build the Salesforce Center of Excellence (CoE), and establish governance frameworks.
  • Assess current Salesforce orgs to identify technical debt and gaps; define optimization and modernization strategies.

Technical Oversight & Quality

  • Guide developers and enforce development best practices.
  • Perform code reviews, design reviews, and security/performance assessments.
  • Troubleshoot complex data, AI, and integration challenges.

Collaboration & Mentoring

  • Work with architects, product teams, and business owners to convert roadmap goals into technical solutions.
  • Mentor developers and admins, promoting engineering excellence.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 8+ years of Salesforce technical leadership experience.
  • Hands-on experience with: Setting up Enterprise Org Hub, Implementing Data Cloud, Developing Agentforce AI use cases, Integrating with external applications/platforms, Defining guardrails & establishing CoE governance, Assessing Salesforce orgs & optimization strategy.
  • Strong Apex, LWC, API integration, and secure scalable design expertise.
  • Understanding of security, OAuth, SSO, and data governance.

Preferred

  • Salesforce Data Cloud Consultant Certification.
  • Salesforce AI Specialist / AI Associate.
  • Application Architect or System Architect certifications.
  • Experience with Mulesoft, Kafka, Boomi, or similar tools.
  • Background in large multi-cloud, multi-org enterprise environments.

Key Competencies

  • Technical leadership & architectural thinking.
  • Deep Salesforce expertise (Data Cloud, AI, Integrations).
  • Complex problem-solving and system optimization.
  • Governance, performance, and security mindset.
  • Strong communication and mentoring skills.

Jobcon Logo Position Details

Posted:

Jan 30, 2026

Employment:

Full-time

Salary:

Not Available

City:

Mississauga

Job Origin:

CIEPAL_ORGANIC_FEED

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Role: Salesforce Technical Lead (Data Cloud & Agentforce)

Location: Mississauga, ON - Hybrid
Mode: Contract

Position Overview

We are seeking an experienced Salesforce Technical Lead with deep expertise in Data Cloud, Agentforce, and enterprise-scale Salesforce architecture. This role owns the technical design standards, ensures architectural alignment, leads development teams, resolves complex issues, and drives high-quality, scalable, and secure Salesforce solutions. The Technical Lead will work closely with architects, developers, and business stakeholders to build and optimize the enterprise Salesforce ecosystem.

Key Responsibilities

Technical Leadership & Architecture Alignment

  • Own and define technical design, guardrails, and implementation standards for Data Cloud and Agentforce.
  • Ensure solution designs align with enterprise architecture, platform roadmap, and Salesforce best practices.
  • Lead technical evaluations, feasibility studies, and design workshops.

Enterprise Hub & Multi-Org Architecture

  • Set up and manage the Enterprise Org Hub to support multi-org, multi-cloud, and scalable architectural patterns.
  • Define integration and governance models for connected enterprise experiences.

Data Cloud Expertise

  • Lead the implementation of Salesforce Data Cloud, including data ingestion, harmonization, identity resolution, and activation.
  • Oversee data pipelines, transformation logic, and performance tuning in Data Cloud.
  • Operationalize Data Cloud for analytics, personalization, and AI-driven automation.

Agentforce (AI) Leadership

  • Develop and deploy Agentforce AI use cases on the enterprise hub org leveraging Data Cloud signals.
  • Ensure responsible and compliant usage of Salesforce AI.
  • Build AI-enabled workflows and intelligent automations.

Integration & Enterprise Connectivity

  • Architect integrations using APIs, platform events, and middleware tools.
  • Ensure integration patterns meet performance, reliability, and scalability standards.

Governance, CoE & Optimization

  • Define technical guardrails, build the Salesforce Center of Excellence (CoE), and establish governance frameworks.
  • Assess current Salesforce orgs to identify technical debt and gaps; define optimization and modernization strategies.

Technical Oversight & Quality

  • Guide developers and enforce development best practices.
  • Perform code reviews, design reviews, and security/performance assessments.
  • Troubleshoot complex data, AI, and integration challenges.

Collaboration & Mentoring

  • Work with architects, product teams, and business owners to convert roadmap goals into technical solutions.
  • Mentor developers and admins, promoting engineering excellence.

Qualifications

Required

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 8+ years of Salesforce technical leadership experience.
  • Hands-on experience with: Setting up Enterprise Org Hub, Implementing Data Cloud, Developing Agentforce AI use cases, Integrating with external applications/platforms, Defining guardrails & establishing CoE governance, Assessing Salesforce orgs & optimization strategy.
  • Strong Apex, LWC, API integration, and secure scalable design expertise.
  • Understanding of security, OAuth, SSO, and data governance.

Preferred

  • Salesforce Data Cloud Consultant Certification.
  • Salesforce AI Specialist / AI Associate.
  • Application Architect or System Architect certifications.
  • Experience with Mulesoft, Kafka, Boomi, or similar tools.
  • Background in large multi-cloud, multi-org enterprise environments.

Key Competencies

  • Technical leadership & architectural thinking.
  • Deep Salesforce expertise (Data Cloud, AI, Integrations).
  • Complex problem-solving and system optimization.
  • Governance, performance, and security mindset.
  • Strong communication and mentoring skills.

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