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CRM Data Engineer
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- $100,000 to $122,500 CAD / year
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CRM Data Engineer
AGF Investments Inc.
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- Full-time
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AGF Investments Inc.

CRM Data Engineer

Toronto, ON, Canada

$100,000 to $122,500 CAD / year · Full-time

Apply on agf.wd3.myworkdayjobs.com About employer

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Job details

Pay: $100,000 to $122,500 CAD / year
Job type: Full-time
Experience: 6+ years of hands-on Salesforce experience (Sales Cloud and Service Cloud focus)
Posting language: English
Posted: Oct 21, 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

Apply on agf.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The CRM Data Engineer at AGF will design and maintain the Salesforce data structure, build the data connections and pipelines between systems, and set up and run the Data360 customer data platform. The role also keeps data documented, accurate and governed.

Requirements

Candidates need 6+ years of hands-on Salesforce experience, especially Sales Cloud and Service Cloud, plus strong data architecture and ETL skills. Experience with Data360 or another customer data platform is preferred but not required.

Skills

Salesforce Sales Cloud
Salesforce Service Cloud
Salesforce Data360
Data Cloud
Informatica
ETL
SQL
Python
JavaScript
Java
Apex
Lightning Web Components
Flow Builder
Azure DevOps
relational data modeling
identity resolution
profile unification
customer data platform
segmentation
data governance
master data management
data deduplication
data reconciliation
API integration
middleware

Benefits

Retirement savings plan

Keywords

Salesforce
Data360
Data Cloud
CRM data engineer
data architecture
data modeling
ETL
Informatica
identity resolution
master data management
data governance
SQL
Python
JavaScript
Java
Apex
Lightning Web Components
Flow Builder
Azure DevOps
Tableau Next

Seniority

Senior

Perks

Retirement plan

Tools

Salesforce
Data360
Informatica
Azure DevOps
Tableau Next
Flow Builder

Languages

English

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Work requirements

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