Toronto On Solution architect databricks Jobs – 112 Openings This Week

Salesforce Technical Consultant
iVedha Inc. —Toronto, ON
- Temporary
- Hybrid work
- Azure
- Salesforce
- DevOps
Quick apply
Software Engineer III
TD Bank —Toronto, ON
- $125,500–$154,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid time off
2h
Lead Business Systems Consultant, Core Data
IMCO —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)
Pratt & Whitney —Toronto, ON
- $188,700–$238,700 a year
- Full-time
- Remote
- Computer Science
- Engineering
- English
- Wellness program
- Dental care
Sr. AI Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Data Engineer
Adastra Corporation —Markham, ON
- Full-time
- Azure
- Computer Science
- Engineering
7d
Senior Professional Services Consultant
Ataccama —Toronto, ON
- $110,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- English
- Databases
- Dental care
- Paid time off
4d
Mgr, Credit Perf & Gov
Rogers Communications —Toronto, ON
- Full-time
- Azure
- Computer Science
- SQL
- Dental care
- Paid time off
Lead Product Manager
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Computer Science
- DevOps
Senior Platform Engineer, Vice President
State Street —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
6d
Director, Lakebase Sales Specialist
Databricks —Toronto, ON
- Sales
- Presentation skills
- APIs

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Salesforce Technical Consultant
iVedha Inc. —Toronto, ON
*Toronto HQ* – Client-facing architects, Agentforce + Nexa design leads, Pre-sales AI automation advisory *LATAM* – Core Salesforce engineering, DevOps and…
Quick apply
Software Engineer III
TD Bank —Toronto, ON
Responsible for developing and documenting detailed solution design and act as an application SME through the design and development lifecycle ensuring…
$125,500–$154,000 a year
2h

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Salesforce Technical Consultant
iVedha Inc. —Toronto, ON
*Toronto HQ* – Client-facing architects, Agentforce + Nexa design leads, Pre-sales AI automation advisory *LATAM* – Core Salesforce engineering, DevOps and…
Quick apply
Data Engineer
Adastra Corporation —Markham, ON
Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. Employment Type: Full-Time or Contractor.
7d

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solution architect databricks jobs near toronto on

Salesforce Technical Consultant

iVedha Inc.
Toronto, ON

Quick apply

Job details

Temporary | Full-time | Fixed term contract

Qualifications

Azure
Go
Salesforce
DevOps
Git
SOAP
Release management
REST
APIs
AI

Full job description

Salesforce AI-Native Practice: Forcenex | ServiceNEX | Nexa | AskNexa.ai.

About iVedha:

iVedha Inc. is a global AI-first digital transformation company with over 25 years of excellence. Powered by the iVedha Fabric - our AI-native operating system, we unify cloud, data, AI, security, and people to deliver measurable, resilient outcomes. Our expertise spans Agentic AI, Generative AI, Cloud Engineering, Cybersecurity, Data Modernization, Application Transformation, and Talent Enablement.

Join our team of forward-thinking innovators shaping the future of intelligent enterprises, where automation, observability, and AI-driven quality assurance redefine delivery velocity.

Role Overview:

iVedha is hiring Salesforce Technical Consultants to support the growth of its Salesforce AI-Native Practice across Toronto (HQ), LATAM, and Asia. This role focuses on enterprise Service Cloud implementation, AI-driven automation using Agentforce, lifecycle governance, and DevOps enablement through iVedha’s platforms (Forcenex, ServiceNEX, Nexa).

The ideal candidate brings strong Apex and LWC development experience, deep understanding of Service Cloud, and hands-on exposure to integrations and automation. This role goes beyond traditional Salesforce development by contributing to AI augmentation, operational optimization, and building an intelligent Salesforce operating layer.

Professionals comfortable working in a hybrid global delivery model and interested in AI-enabled Salesforce transformation will thrive in this position.

Responsibilities:

Salesforce Engineering

Design and implement Salesforce Service Cloud solutions
Develop using Apex, LWC, Triggers, and Flows
Build and maintain REST/SOAP integrations
Implement scalable data models and security design
Configure Admin tools including profiles and permission sets

Salesforce Agentforce Implementation

Configure and extend Salesforce Agentforce capabilities
Design AI-assisted workflows such as case summarization, intelligent routing, AI-generated responses, and knowledge recommendations
Align Agentforce with operational governance.
Measure productivity uplift from AI augmentation.

Nexa Agentic Augmentation (AskNexa.ai)

Deploy AI Admin Agents and Case Support Assistants
Implement Release Risk Analysis and Workflow Optimization Agents
Embed governance and audit automation agents
Support AI augmentation initiatives using Nexa / AskNexa.ai.

DevOps & Lifecycle Governance

Implement CI/CD for Salesforce
Manage environments and release safety
Reduce deployment risks
Build release observability
Support DevOps tooling such as Copado, Git, and Azure DevOps.

Post-Go-Live Automation

Optimize case workflows
Automate ticket routing
Reduce manual administrative overhead
Improve SLA performance
Reduce long-term support costs

Requirements:

Required Experience

5 to 10+ years Salesforce technical experience
Strong experience in Service Cloud
Strong Apex development expertise
Hands-on experience with LWC
Experience with Salesforce Admin tools
Experience with Flows and automation
Experience with integrations and APIs
Exposure to DevOps tooling such as Copado, Git, and Azure DevOps

Highly Preferred

Experience with Salesforce Agentforce
Experience with AI-powered Salesforce features
Prompt engineering inside Salesforce
AI-assisted automation design experience
Experience integrating AI platforms
Experience working with data pipelines such as Databricks and Airflow
Salesforce certifications such as PD1, PD2, or Service Cloud.

Global Delivery Model

Toronto HQ – Client-facing architects, Agentforce + Nexa design leads, Pre-sales AI automation advisory LATAM – Core Salesforce engineering, DevOps and release management, Operational automation builds Asia – AI agent engineering, Follow-the-sun lifecycle support, Integration and governance automation.

What Makes This Role Elite

Most Salesforce roles stop at configuration
This role evolves into AI-Augmented Salesforce Architecture
Agentic Workflow Orchestration
Lifecycle Governance Engineering
Workforce Automation Strategy
You are building Salesforce + AI Digital Workforce
Very few practices globally operate at this architectural layer

Career Growth

Senior Salesforce AI Architect
Agentforce + Nexa Automation Lead
Salesforce Operating Layer Architect
Global Practice Lead – Salesforce AI

Engagement Options:

Full-Time-

Core AI-native Salesforce practice
Participation in iVedha IP platforms
Leadership growth path

Contract-

Specialized Agentforce deployment
AI augmentation implementation
DevOps and release governance roles

Job Types: Full-time, Fixed term contract
Contract length: 12 months

Work Location: Hybrid remote in Toronto, ON M3C 3S2

Quick apply

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solution architect databricks jobs in toronto on

Salesforce Technical Consultant

Software Engineer III

Lead Business Systems Consultant, Core Data

Directeur, ingénierie des données et de l'IA (télétravail) | Director, Data and AI Enablement (Remote)

Sr. AI Engineer

Data Engineer

Senior Professional Services Consultant

Mgr, Credit Perf & Gov

Lead Product Manager

Senior Platform Engineer, Vice President

Director, Lakebase Sales Specialist

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