Multiplier Logo

Multiplier

Senior Salesforce Architect

Reposted 5 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Canada
Senior level
Remote or Hybrid
Hiring Remotely in Canada
Senior level
Lead architecture and implementation of scalable Salesforce solutions across Sales, Service, and Data Cloud. Design integrations, data pipelines, identity/security models, AI-driven CRM features, and enterprise automation while providing technical leadership and governance.
The summary above was generated by AI
About the Role

We are seeking a hands-on Salesforce Architect with deep expertise across Sales Cloud, Service Cloud, Data Cloud, AI, integrations, and enterprise automation. This role combines strategic solution architecture with strong technical execution.

You will lead end-to-end Salesforce architecture, design scalable integrations and data pipelines, implement intelligent automation, and enable AI-driven CRM capabilities across the organization.

This is a highly technical leadership role requiring both architectural ownership and active development involvement.

Key Responsibilities

Solution Architecture & Platform Design

  • Architect scalable, secure Salesforce solutions across Sales Cloud, Service Cloud, and Data Cloud.

  • Design data models, security architecture, sharing models, and role hierarchies.

  • Define integration patterns (real-time, batch, event-driven).

  • Produce technical architecture documents, solution designs, and governance standards.

  • Ensure adherence to Salesforce best practices and platform limits.

  • Architect servicelcoud case management lifecycle, SLAs, entitlements, and escalation frameworks.

  • Optimize agent console performance and service analytics.

Data Cloud & Customer Data Architecture

  • Design and implement Salesforce Data Cloud for unified customer profiles.

  • Architect data ingestion from CRM, ERP, warehouses, and external systems.

  • Implement identity resolution, harmonization, and calculated insights.

  • Enable real-time segmentation and activation into CRM workflows.

  • Manage large data volumes and performance optimization.

AI & Intelligent CRM Capabilities

  • Architect AI-driven use cases using Salesforce native AI capabilities.

  • Implement predictive scoring (opportunity, case classification).

  • Configure Next Best Action frameworks.

  • Enable generative AI use cases (case summaries, email drafting, knowledge generation).

  • Embed AI insights into automated workflows and decision processes.

Integrations, APIs,  Middleware, Automation

  • Design and implement REST, SOAP, Bulk, and Streaming API integrations.

  • Architect inbound and outbound integrations with ERP, marketing platforms, and data warehouses.

  • Work with middleware platforms (MuleSoft, Boomi, Workato, etc.).

  • Implement OAuth 2.0, JWT, SAML, and secure authentication mechanisms.

  • Design event-driven architectures using Platform Events and Change Data Capture.

  • Ensure scalability, fault tolerance, and monitoring of integrations.

  • Design and implement ETL pipelines into Salesforce.

  • Architect reverse ETL workflows to sync data from multiple sources back into Salesforce.

  • Manage data transformations, deduplication, and reconciliation.

  • Ensure data quality, consistency, and governance.

  • Architect complex automation using record-triggered and scheduled flows, orchestration, apex-based automation etc.

Required Qualifications and Skills
  • 7–10+ years of Salesforce experience.

  • 3+ years in an Architect or Technical Lead capacity.

  • Deep hands-on expertise in:

    • Apex, LWC, SOQL/SOSL

    • Salesforce APIs

    • Integration architecture

    • Service Cloud implementations

    • Data Cloud architecture

    • ETL and Reverse ETL pipelines

  • Experience designing enterprise-scale CRM ecosystems.

  • Strong understanding of identity, security, and access models.

  • Experience working in Agile delivery environments.

  • Familiarity with data warehouse ecosystems.

  • Experience implementing AI use cases within Salesforce.

  • Strong stakeholder communication and executive presence.

  • Ability to translate business strategy into scalable technical solutions.

Similar Jobs

17 Minutes Ago
Remote or Hybrid
Ontario, ON, CAN
Mid level
Mid level
Cloud • Information Technology • Security • Software • Cybersecurity
The Territory Account Executive will drive new business in Ontario for Cloudflare's Enterprise services, focusing on technical sales to commercial accounts, managing relationships, and achieving revenue targets.
Top Skills: Cloud SolutionsCyber SecurityIaasNetworkingPaasSaaS
18 Minutes Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
AdTech • Cloud • Marketing Tech • Productivity • Software • Analytics • Automation
Lead the implementation of AI agent workflows, conduct architectural reviews, design production systems, and optimize platform performance at Acquia.
Top Skills: AWSAzureGCPLangfuseLanggraphPython
19 Minutes Ago
Remote
Canada
Senior level
Senior level
Artificial Intelligence • Productivity • Software • Automation
The Senior Fullstack Engineer will build and manage enterprise authentication systems, improve user session management, ensure security compliance, and support internal API usage across services, while enhancing performance and reliability.
Top Skills: Ci/CdDjangoFastifyKubernetesNode.jsPythonTerraform

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account