Principal Data 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 Data Engineer provides senior technical expertise with a focus on bank and industry-wide solutions that address capability gaps to create significant value for customers.  This role implements solutions, ensuring efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in an industry-leading manner.  This role provides deep technical leadership, sets direction in developing and implementing solutions to address Platform and Journey's emerging business needs and strategies, as well as efficiency opportunities from a technical perspective.  This role advances the overall design, architecture, and technology capabilities in accordance with industry developments. Depth & Scope: Leading authority on data engineering concepts, principals, practices and standards Thought leader on IT risk-based approaches to data engineering and on other domains in technology control / information security fields Sets the direction and oversees the work of other Data Engineering professionals on complex, highly-visible projects of significant profile, strategic importance, and enterprise impact to the bank Establishes and leads Data engineering working groups to achieve goals that impact multiple Journeys and Platform Provides consultative and strategic guidance to executive leadership Engineering specialist assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organization Has a blend of skills in data engineering, data management, architecture, solutions architecture, application security and coding Primarily works at the enterprise level Typically reports to the data engineering practice owner Education & Experience: University or Graduate / post graduate degree in Data Management or related Computer Science or Engineering discipline; or equivalent practical experience 15+ years of relevant experience in field of specialization Preferred Qualifications:   Advanced   proficiency   in cloud data platforms (Azure preferred: ADF, Databricks)   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.       Physical