This role serves as a Director-level Lead Data & Analytics Engineering position responsible for building production-grade metrics products across the firm's Technology division
Job Summary
This role serves as a Director-level Lead Data & Analytics Engineering position responsible for building production-grade metrics products across the firm's Technology division.
The successful candidate will lead the design of end-to-end data pipelines on Snowflake and create executive-ready dashboards using Power BI and Streamlit to support strategic decision-making.
Morgan Stanley offers a hybrid work environment in Montreal, Quebec, combining remote flexibility with office collaboration within a global financial services leader.
Matching Summary
This role serves as a Director-level Lead Data & Analytics Engineering position responsible for building production-grade metrics products across the firm's Technology division.
Skills & Requirements
Must-have
6+ years hands-on data engineering experience
Advanced SQL and analytical data modeling
Snowflake ELT architecture and optimization
Python for pipeline development and orchestration
End-to-end data pipeline design and validation
Power BI and Streamlit dashboard creation
Nice-to-have
Predictive analytics and forecasting expertise
AI and machine learning application in telemetry
Experience with technology spend transparency
Strong stakeholder partnership and leadership skills
Mentorship and code review capabilities
Key Requirements
6+ years of data engineering or analytics engineering experience