Principal - Data Engineer, Wealth Management

Title: Principal - Data Engineer, Wealth Management

Requisition ID: 262590

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.

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 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.

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

• 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.

What's in it for you?

• Diversity, Equity, Inclusion & Allyship – We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias‑free practices and inclusive values across Scotiabank.
• Accessibility and Workplace Accommodations – We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone.
• 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.
• Dynamic Ecosystem – Free tea & coffee, universal washrooms, and lots of space for team collaboration.
• Community Engagement – We offer opportunities for community engagement & belonging with our various programs such as hackathons.

Location: Canada · Ontario · Toronto

If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know.