Data Engineer III - Job Opportunity at TD Bank

Toronto, Canada
Full-time
Senior
Posted: February 10, 2025
On-site
CAD 91,200 - 136,800 per year

Benefits

Competitive variable compensation based on performance
Comprehensive health and wellbeing benefits
Retirement savings programs
Paid time off
Banking benefits and employee discounts
Career development programs
Learning and mentorship opportunities

Key Responsibilities

Lead data engineering design and development for enterprise platforms
Architect and implement data pipelines for C360 platform
Drive data governance and quality standards
Manage complex ETL processes and frameworks
Provide technical leadership and mentoring
Ensure compliance with security and regulatory requirements
Lead architecture and design reviews

Requirements

Education

Degree, Postgraduate Degree, or Technical Certificate in Data Management

Experience

5-7 years of relevant experience

Required Skills

Expertise in Azure Databricks Python Spark Synapse ETL frameworks Master Data Management (MDM) Informatica Data modeling Data quality management Data governance Technical leadership
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Sauge AI Market Intelligence

Industry Trends

Financial institutions are increasingly focusing on customer data integration platforms to enable personalized banking experiences Cloud-native data engineering is becoming standard in enterprise banking Data governance and compliance requirements are driving architectural decisions in banking technology Real-time data processing capabilities are becoming critical for modern banking operations

Salary Evaluation

The offered salary range of CAD 91,200-136,800 is competitive for the Toronto market, aligning with the senior level and banking sector premium. Similar roles at other major Canadian banks typically range from CAD 85,000-140,000.

Role Significance

Typically leads a team of 3-5 junior engineers while collaborating across multiple pods
Senior individual contributor role with significant technical leadership responsibilities and architectural influence

Key Projects

Customer 360 data platform implementation Enterprise data governance frameworks Data pipeline modernization Cross-platform data integration initiatives

Success Factors

Deep understanding of financial data regulations and compliance Ability to bridge technical and business requirements Strong architectural vision for scalable data solutions Experience with enterprise-scale data platforms

Market Demand

Very high demand, particularly in the financial sector where data engineering expertise intersects with regulatory compliance knowledge

Important Skills

Critical Skills

Cloud data platform expertise (Azure, Databricks) - essential for TD's modernization initiatives Data governance and compliance knowledge - critical in heavily regulated banking sector ETL and data pipeline development - core to role delivery Technical leadership capabilities - required for mentoring and architecture guidance

Beneficial Skills

Financial domain knowledge Agile methodology experience Change management skills Cloud cost optimization expertise

Unique Aspects

Focus on customer-centric data platforms
Strong emphasis on regulatory compliance
Large-scale digital transformation context
Cross-border operations adding complexity to data management

Career Growth

2-3 years in role before progression, depending on project delivery and leadership development

Potential Next Roles

Lead Data Architect Data Engineering Manager Principal Data Engineer Enterprise Architecture roles

Company Overview

TD Bank

TD Bank is the fifth largest bank in North America by branches, serving over 27 million customers with a strong focus on digital transformation

Leading position in Canadian banking with significant US presence and growing technology investments
Major employer in Toronto's financial district with significant technology operations
Structured corporate environment with strong emphasis on work-life balance and professional development
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Data Sources & Analysis Information

Job Listings Data

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  • Salary estimates and market demand analysis
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  • Critical success factors and key skills
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