Principal - Data Engineer, Wealth Management

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal - Data Engineer, Wealth Management Toronto Requisition ID: 262590 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Join a purpose-driven, high-performing team committed to innovation and impact. We are seeking a visionary and hands-on Principal Data Engineer to lead the enterprise-wide data engineering strategy. This role is pivotal in shaping the next-generation data architecture, ensuring scalability, governance, and operational excellence across the organization. Join a purpose-driven, high-performing team committed to innovation and impact. We are seeking a visionary Principal Integration Engineer with strong expertise in integration architecture, microservices, and Java-based platforms to lead the evolution of our enterprise data ecosystem. This role is pivotal in shaping a modern, API-driven, event-based architecture that integrates data, AI, and business systems at scale-ensuring resilience, flexibility, and operational excellence. Is this role right for you? In this role you will: Define and drive the long-term data engineering vision and architectural roadmap. Lead the design and implementation of enterprise-scale data and AI pipelines-real-time, batch, and hybrid. Establish frameworks for data governance, cataloging, and model alignment to ensure trust and transparency. Partner with AI leadership to deliver infrastructure for scalable model training, Retrieval-Augmented Generation (RAG), and intelligent agents. Build and manage feature stores and data mod

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