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 |
The Opportunity
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.
What You'll Do
- 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.
Must-Have Qualifications
- 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).
Preferred
- CFA charterholder or active CFA candidate (Level I III) - or equivalent demonstrated investment-domain fluency.
Who You Are
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. |
Epik Solutions is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment. All employment decisions at Epik are based on business needs, job requirements and individual qualifications and merit, without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other status protected by applicable law or regulations. Epik participates in the E-Verify program.
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