Principal - Data Engineer, Wealth Management

Scotiabank • Toronto, ON

13d • Onsite

About The Position

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.

Requirements

• 10+ years of experience leading enterprise data engineering strategies and platforms.
• Deep expertise in architecting end-to-end data solutions for AI/ML use cases.
• Proven leadership in cross-functional initiatives involving real-time data, governance, and security.
• Hands-on experience with RAG pipelines, feature stores, and ML data readiness.
• Strong influence in cloud infrastructure design and platform scalability.
• Knowledge of data quality, lineage, and compliance frameworks.
• Ability to align data engineering initiatives with business strategy and executive priorities.
• A track record of mentoring and developing high-performing engineering teams.

Responsibilities

• 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 models optimized for ML training and inference.
• Architect robust, scalable pipelines for ingesting, transforming, and delivering structured and unstructured data.
• Integrate data across modern cloud-native platforms (e.g., BigQuery, Databricks) and multi-cloud environments (Azure, GCP).
• Champion secure, compliant data platforms and advocate for best practices across business and technology teams.
• Mentor senior engineers and contribute to technical leadership forums to foster a culture of excellence.

Benefits

• Diversity, Equity, Inclusion & Allyship
• Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
• Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
• Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Opportunities for community engagement & belonging with our various programs such as hackathons.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed