Senior Data Engineer (CFA level) - Toronto, ON / Montreal, QC / Boston, MA (Hybrid)

Senior Data Engineer

Asset Management & Investment Data - GWAM Data Office

Location

Toronto, ON / Montreal, QC / Boston, MA (hybrid, on-site collaboration expected)

Role type

Full-time Strategic client-facing engagement

Experience

4+ years

Team

Global Wealth & Asset Management (GWAM) Data Office

We are building an elite, domain-deep data engineering team for a leading global asset & wealth management client. This is not a body-shop role - you will work shoulder-to-shoulder with the client's Data & AI leadership on investment, risk, and asset-management data platforms. We are looking for exceptionally strong, high-quality engineers who combine modern data engineering craft with genuine capital-markets understanding.

• Design and build cloud data pipelines on Azure Data Lake, Azure Data Factory (ADF) and Databricks (ADB) across ingestion curation (Silver) Data Access Layer (Gold).
• Implement SCD Type-2, transformation logic, and DAL standardization for investment, risk and AUM datasets.
• Model and engineer data for asset management, portfolio risk, and performance workflows (e.g., Risk, FRM-GA, BarraOne, AUM reporting).
• Build data quality, validation and reconciliation frameworks (source-to-target, QA evidence).
• Collaborate with data scientists and quants to deliver AI-ready, governed data foundations, including agentic / GenAI-assisted engineering.

• 4+ years of hands-on data engineering with strong Python, SQL, Spark/Databricks, and Azure (ADF, ADLS, Synapse).
• Domain experience with investment, asset management, or capital-markets data (portfolios, securities, risk, performance, or reference data).
• Strong data modelling (dimensional, SCD, medallion architecture) and pipeline orchestration.
• Agentic AI / GenAI-assisted development experience (e.g., GitHub Copilot).

• CFA charterholder or active CFA candidate (Level I III) - or equivalent demonstrated investment-domain fluency.

A younger, high-potential professional with an outstanding track record; collaborative, curious, and comfortable working directly with senior client stakeholders in a people-first, partnership culture.

Why this role stands out

You will help build a rare capability at the intersection of data engineering and investment management - backed by six years of GWAM domain depth and a CFA-sponsorship pathway for top performers.