Principal Engineer (US)

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.  As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

The Principal Engineer provides deep technical leadership, domain specialization and expertise, and sets direction in developing and implementing solutions to address emerging business needs and strategies and also advances the overall design architecture and technology capabilities in accordance with industry developments. This role is also influential to Senior Leaders and provides guidance and governance to other technology groups and business areas. Depth & Scope: Recognized as an internal and external expert in specific domain(s) within the organization; Spends the majority of their time on technical issues Sets the direction and oversees the work of other IT professionals as assigned on complex, highly-visible engineering projects of significant profile, strategic importance, and enterprise impact to the Bank Recognized as an internal expert within the broad engineering field and may have specialized expertise within multiple domains Provides consultative and strategic guidance to executive leadership Education & Experience: Bachelor's or Graduate degree Strong academic background (e.g., computer science, engineering)  or 15+ years relevant experience Preferred Qualifications: 3+ years of demonstrated AI experience. Advanced proficiency in cloud data platforms (Azure, AWS, GCP) Strong experience with data architecture patterns (batch, streaming, real-time) Expertise in data modeling (dimensional, domain-driven design) Deep knowledge of SQL, Python, and distributed data processing frameworks and optimization Strong understanding of data governance frameworks (lineage, metadata, cataloging) Experience implementing data quality controls and monitoring frameworks Knowledge of regulatory requirements (BSA/AML, audit, data controls, privacy) Expertise in CI/CD pipelines and DevOps for data engineering Ability to enforce coding standards and engineering best practices Executive-level communication and stakeholder management across Product, Technology, Risk, and Business team. Drives architecture, engineering standards, and delivery excellence across data domains, enabling high-quality data products that support analytics, regulatory compliance, and customer centric initiatives.

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% Domestic Travel – Occasional International Travel – Never Performing sedentary work – Continuous Performing multiple tasks – Continuous Operating standard office equipment - Continuous Responding quickly to sounds – Occasional Sitting – Continuous Standing – Occasional Walking – Occasional Moving safely in confined spaces – Occasional Lifting/Carrying (under 25 lbs.) – Never Lifting/Carrying (over 25 lbs.) – Never Squatting – Never Bending – Never Kneeling – Never Crawling – Never Climbing – Never Reaching overhead – Never Reaching forward – Never Pushing – Never Pulling – Never Twisting – Never Concentrating for long periods of time – Continuous Applying common sense to deal with problems involving standardized situations – Continuous