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 robust data architecture, modeling, integration, and data engineering capability.
- Demonstrat

📌 Salesforce AI (Toronto)
🏢 AGF Management
📍 Toronto