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AGF Investments

Salesforce AI & Data Cloud Solutions Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 23, 2026
Experience: 6+ years of hands-on Salesforce experience (Sales Cloud and Service Cloud focus)
Posting language: English
Posted: Sep 14, 2026

Original job description

About AGF Management Limited:

Founded in 1957, AGF Management Limited (AGF) is an independent and globally diverse asset management firm. Our companies deliver excellence in investing in the public and private markets through three business lines: AGF Investments, AGF Capital Partners and AGF Private Wealth.

AGF brings a disciplined approach, focused on incorporating sound, responsible and sustainable corporate practices. The firm’s collective investment expertise, driven by its fundamental, quantitative and alternative investing capabilities, extends globally to a wide range of clients, from financial advisors and their clients to high-net worth and institutional investors including pension plans, corporate plans, sovereign wealth funds, endowments and foundations.

Headquartered in Toronto, Canada, AGF has investment operations and client servicing teams on the ground in North America and Europe. AGF serves more than 820,000 investors. AGF trades on the Toronto Stock Exchange under the symbol AGF.B.

About the Role:

We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models, integrations, pipelines, Data360 capabilities, and data operations for analytics, segmentation, activation, and AI use cases.

Role mandate: Optimize the CRM data foundation, pipelines, and stand up, operate, govern, and evolve Salesforce Data360 as the enterprise customer data platform, increase AI and analytics capabilities across Salesforce user communities.

Key Responsibilities:

Data Architecture, Integration & Engineering

Design and modernize Salesforce data models, relationships, standards, lifecycle rules, and platform data flows.
Build and maintain integrations across Salesforce, relational databases, flat files, APIs, middleware, and Informatica pipelines.
Own transformation logic, large-volume data loads, reconciliation, performance tuning, deduplication, monitoring, and error handling.
Assess data quality and technical debt and lead practical improvements to legacy data structures and integrations.

Data360, Customer Data Platform & AI

Design and implement Data360 solutions that unify CRM, transaction, portfolio, behavioural, and enterprise data into trusted customer profiles.
Own Data360’s architecture, configuration, administration, ingestion, identity resolution, harmonization, segmentation, activation, monitoring, optimization, and ongoing evolution.
Translate reporting, engagement, analytics, and AI requirements into reusable Customer Data and AI capabilities.
Enable Platform AI: Salesforce AI, Tableau Next, and implement other AI-powered use cases as the platform in collaboration with the extended CRM team.

Data Governance & Documentation

Establish standards for data quality, ownership, stewardship, security, access, lineage, retention, and auditability.
Maintain clear, auditable documentation of data models, flows, integration logic, controls, architecture decisions, and operating procedures.

What you Bring:

Core Experience

6+ years of hands-on Salesforce experience (Sales Cloud and Service Cloud focus)
Strong, hands-on data architecture and engineering experience across schema design, entity relationships, normalization, APIs, middleware, and large data volumes.
Hands-on experience defining master data management strategies, and establishing data governance rules within the Salesforce ecosystem
Experience with Informatica is preferred; comparable hands on ETL experience with the ability to ramp up quickly is acceptable.
Proven ability to ingest multi-source data, build real-time ETL pipelines, map relationships in the data graph, execute identity resolution rules, and generate unified customer profiles
Demonstrated experience with Platform administration, relational data modeling, security, and configuration.
Platform development experience with Flow Builder, Apex, Lightning Web Components, release management, and DevOps tooling such as Azure DevOps.
Programming proficiency in SQL, JavaScript, Python, Java, or a similar language.
AI experimentation and a keen ability to learn and apply new AI technologies quickly.

Data360 & Emerging AI Technology

Strong understanding of identity resolution, profile unification, customer data platforms, segmentation, and activation.
Exposure to Salesforce Data360/Data Cloud or a comparable customer data platform is preferred. Deep hands-on Data360 experience is not required where the candidate has strong data architecture, modeling, integration, and data engineering capability.
Demonstrated ability to learn and apply emerging Salesforce capabilities; AI, MCP, Plugins, Skills, APIs, TableauNext or other agentic experiences.

Working Style

Comfortable-owning end-to-end execution and delivery independently, while collaborating with technical, business, analytics, and enterprise data teams; Individual contributor role, no direct reports.
Strong documentation discipline and ability to explain architecture decisions and trade-offs clearly.

Strong Assets

Current Salesforce certifications such as Platform Administrator, Data 360 Consultant, Data Architect, Integration Architect, Agentforce Specialist, Platform Developer I/II
Experience in financial services or another regulated industry with strict privacy, security, governance, and audit requirements.

Expected Outcomes

A scalable, governed, and well-documented Salesforce data foundation.
Modernized data models and integrations that improve quality, trust, performance, and operational efficiency.
Data360 implemented, operated, and continuously optimized as the enterprise Customer data platform.
Trusted customer profiles and reusable data assets that enable analytics, segmentation, activation, automation, TableauNext and CRM AI capabilities.
Increased productivity and efficiency across business teams through expanded data, automation and AI capabilities within the Salesforce ecosystem.

Compensation:

The anticipated compensation range for this role is $100,000 – $122,500 annually, which represents base salary and, where applicable, variable compensation components (e.g., annual bonus, commissions, etc.). Actual compensation will be determined based on many factors such as role location, candidate experience / qualifications, market conditions, and internal equity.

AGF aims to offer a comprehensive and competitive total rewards package designed to support the success and well-being of our employees, which may include a combination of base salary, variable compensation, benefits, and retirement savings plans.

No unsolicited agency referrals please. 

AGF is an equal opportunity employer committed to fostering an inclusive and accessible workplace. We welcome and encourage applications from individuals of all backgrounds, including women, Indigenous peoples, racialized persons, persons with disabilities, and members of the 2SLGBTQIA+ community.

We do not discriminate on the basis of race, national or ethnic origin, colour, religion, age, sex, sexual orientation, gender identity or expression, marital status, family status, disability, or any other status protected by applicable legislation.

We are committed to providing reasonable accommodations for applicants with disabilities throughout the recruitment process. If you require accommodation at any stage of the application or hiring process, please contact us at hr@agf.com so that appropriate arrangements can be made.

# R11306

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More about this job

Responsibilities

Design, modernize, and operate Salesforce data models, integrations, pipelines, and Data360 capabilities, including ingestion, identity resolution, customer profile unification, segmentation, and activation. Establish data governance and documentation standards while enabling analytics, automation, and AI use cases across Salesforce.

Requirements

Requires at least six years of hands-on Salesforce experience, strong data architecture and engineering skills, and experience with data modeling, integrations, governance, and large data volumes. Candidates should have platform administration and development experience, programming proficiency, and the ability to build multi-source data pipelines; Informatica and Salesforce Data360 experience are preferred, with comparable ETL or customer data platform experience acceptable.

Skills

Salesforce
Data Architecture
Data Engineering
Data Modeling
Data Integration
Data Governance
Salesforce Data360
Customer Data Platforms
Identity Resolution
ETL Pipelines
Informatica
SQL
Python
JavaScript
Apex
AI

Benefits

Benefits
Retirement Savings Plans
Variable Compensation

Visa sponsorship

Not detected in the job text

Keywords

Salesforce
Sales Cloud
Service Cloud
Data360
Data Cloud
Customer Data Platform
Informatica
ETL
Data Architecture
Data Engineering
Data Modeling
Master Data Management
Data Governance
Identity Resolution
Customer Profile Unification
SQL
Python
JavaScript
Java
Apex
Lightning Web Components
Flow Builder
Azure DevOps
Tableau Next
Agentforce
APIs
Middleware
Real-Time Data Pipelines
Financial Services
Data Quality

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