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Added 20 mins ago
I
QA Automation Engineer - ETL/Database
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added 20 mins ago
E
Senior QE + AI Engineer
enableIT
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered…
Added 20 mins ago
I
QA Automation Engineer - Database & ETL Testing
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…
Added 21 mins ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
…immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance,…
Added 50 mins ago
I
QA Automation Engineer - ETL/Database
INFOYA
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
experienced Senior Automation Engineer with strong expertise
Added 3 hours ago
P
Growth Engineer Intern
Parameter
Engineer, BC
- Volunteer
Build growth surfaces from start to finish: landing pages, free tools, product-led loops, onboarding experiments, and internal automation
Added 5 hours ago
KI
Technical Marketing Engineer
Klara Inc
Hamilton, ON
- Full-time
Added 6 hours ago
ST
AI Engineer Intern
Soft Techniques
Engineer, BC
- Internship
Description Join Soft Techniques as an AI Engineer Intern and work on cutting-edge AI systems used by real businesses. You will collaborate with our engineering team to build and improve AI…
Added 7 hours ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Full-time
…capabilities align with business needs and supports strong data governance and operational…
Added 11 hours ago
M
Senior Software Engineer - Customer Portfolio Enablement
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is looking for a talented Senior Software Engineer to deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined…
Added 11 hours ago
S
Internal Product Engineer, Developer Productivity AI
Stripe
Canada
- Full-time
High data fluency engineer - demonstrated ability to use large datasets to pick out user insights and inform product development.
Added 12 hours ago
E
Baseband software Developer
Ericsson
Ottawa, ON
- Full-time
· Drive or support automation and data analytics to improve how we detect, analyze, and prevent issues
Added 13 hours ago
E
Baseband software Developer
Ericsson
Ottawa, ON
- Full-time
Drive or support automation and data analytics to improve how we detect, analyze, and prevent issues
Added 13 hours ago
B
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
- Volunteer
Engineer backend automation scripts and data integration pipelines with Python and SQL, leveraging operational data to drive real-time insights and transformation on the shop floor.
Added 14 hours ago
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Full-Stack Software Engineer
Ultrassure
Remote, Canada
- Full-time
- Remote
Improve document parsing, clause extraction, data enrichment, comparison and workflow automation.
Added 14 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Toronto, ON
- Full-time
…Clinic Operations, to redesign how work gets done and apply automation and AI where they create the greatest value. The team is organized around four capabilities: Data, AI, Digital…
Added 14 hours ago
WH
Digital Transformation Intern
WELL Health Technologies Corp
Vancouver, BC
- Full-time
…Clinic Operations, to redesign how work gets done and apply automation and AI where they create the greatest value. The team is organized around four capabilities: Data, AI, Digital…
Added 15 hours ago
P
Senior Product Manager, Fund Management
Purpose
Toronto, ON
- Full-time
…moving fund accounting, performance, trading operations, and the data that underpins these all onto a single governed platform. The book of record for our funds, the daily NAVs we strike,…
Added 15 hours ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and…
Added 16 hours ago
AM
Systems Design Engineer (New Grad)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Proficiency in Python or other scripting languages for debug automation, log parsing, and data analysis.
Added 16 hours ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
The data platform runs on Databricks and Google Cloud. Several AI solutions are already live in production and have delivered measurable reductions in claims processing time.
Added 16 hours ago
A
IT Business Analyst
AtkinsRéalis
Montreal, QC
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 16 hours ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…quality solutions by automating tests and/or creating/enhancing automation…
Added 16 hours ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- Full-time
We’re looking for a MarTech / Growth Engineer to sit at the intersection of Marketing, Engineering, Data, Product, and Operations.
Added 17 hours ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
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,…

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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