Principal Data Engineer, AI Experience
Job Description
Description
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Title: Principal Data Engineer, AI Experience
Requisition ID:
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, AI Experience to lead the enterprise-wide data engineering strategy that powers AI and ML capabilities. This role is pivotal in shaping the next-generation data architecture, ensuring scalability, governance, and operational excellence across the organization.
What You’ll Do:
- 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.
What You Bring:
- 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. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
- Accessibility and Workplace Accommodations – We value the unique skills and experiences each individual brings to the
Company
Scotiabank
Location
Toronto
Country
Canada
Salary
150.000
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