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Chief Data Engineering Analyst - Job Opportunity at National Bank of Canada

Montreal, Canada
Full-time
Senior
Posted: April 4, 2025
Hybrid
CAD 130,000 - 170,000 annually based on Montreal market rates for senior data engineering roles in financial services

Benefits

Comprehensive health and wellness program with multiple coverage options and family support
Industry-competitive pension plan with employer matching
Employee Share Ownership Plan enabling wealth building through equity participation
Advanced telemedicine services and virtual healthcare solutions
Professional development resources including Udemy, Data Academy, and Harvard Learning Center access
Work-life balance support through flexible scheduling and hybrid work arrangements
Preferential banking services for employees
Mental health support through Employee and Family Assistance Program
Community engagement opportunities and corporate social responsibility initiatives

Key Responsibilities

Lead the strategic implementation of data infrastructure within the Risk Strategy Modeling framework
Design and optimize enterprise-scale data pipelines for critical risk assessment systems
Develop and maintain data quality governance frameworks across multiple business units
Drive technical decision-making for data architecture and processing optimization
Collaborate with business stakeholders to align data strategy with organizational objectives
Architect real-time data integration solutions following enterprise best practices
Establish and monitor key performance indicators for data analysis effectiveness
Guide technological evolution of data analysis infrastructure

Requirements

Education

Bachelor's degree in related field OR Master's degree in data science, statistics, computer science, economics, mathematics

Experience

5 years with Bachelor's degree OR 3 years with Master's degree

Required Skills

Data modeling (data vault, dimensional) SQL, Python, Spark, SAS JIRA, Jenkins, Git Snowflake and/or Databricks Massive data handling Data quality monitoring Business analysis Performance optimization
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Sauge AI Market Intelligence

Industry Trends

Financial institutions are increasingly prioritizing risk modeling capabilities due to evolving regulatory requirements and market volatility Integration of real-time data processing capabilities is becoming critical for risk assessment and decision-making in banking Cloud-based data warehousing solutions are becoming standard in financial services, with Snowflake and Databricks leading adoption Banks are investing heavily in automated data quality monitoring systems to ensure regulatory compliance and risk management

Role Significance

Typically leads a team of 3-5 data engineers while collaborating with broader risk modeling and business teams of 15-20 people
Senior technical leadership position with significant influence on risk management infrastructure and data strategy

Key Projects

Enterprise data warehouse modernization initiatives Risk modeling pipeline optimization programs Real-time data integration systems implementation Cross-functional data governance frameworks

Success Factors

Strong understanding of financial risk management principles and regulatory requirements Ability to bridge technical implementation with business strategy Experience with large-scale data transformation projects in regulated environments Leadership skills in guiding technical teams and influencing stakeholders

Market Demand

High demand position due to increasing focus on risk management and data-driven decision making in banking sector, particularly in Canadian financial markets

Important Skills

Critical Skills

Data modeling expertise essential for risk assessment frameworks Cloud platform experience crucial for modernization initiatives SQL and Python proficiency necessary for data pipeline development Business analysis skills vital for stakeholder collaboration

Beneficial Skills

Knowledge of regulatory compliance frameworks Experience with agile methodologies Familiarity with machine learning operations Understanding of financial markets and risk metrics

Unique Aspects

Rare combination of risk modeling and data engineering focus
Strong emphasis on internal mobility and professional development
Hybrid work model unusual for traditional banking sector
Comprehensive technology stack including both traditional and modern tools

Career Growth

2-3 years in role before advancement opportunity, with potential fast-track based on project success and business impact

Potential Next Roles

Chief Data Officer Head of Risk Analytics Director of Data Engineering VP of Technology

Company Overview

National Bank of Canada

National Bank of Canada is the sixth largest commercial bank in Canada, with strong presence in Quebec and growing national operations

Leading position in Quebec market with expanding influence across Canada, particularly in commercial banking and wealth management
Headquarters in Montreal with significant influence in Quebec's financial sector and growing presence in other Canadian markets
Progressive work environment with strong emphasis on work-life balance and professional development, characteristic of Canadian banking sector
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