Mount Laurel, New Jersey, United States of America

40

$148,720 - $223,080 USD

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.

• 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

• 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

• Responsible for advancing data engineering practices through processes and tools, setting development and design standards at business unit and/or enterprise level
• Executes on Data Engineering strategy as it relates to the introduction of tools, automation and better delivery processes, robust design practices, adoption of new and better paradigms across Application, Platform and Infrastructure
• Leads the creation of solution options and ultimately a comprehensive end-to-end solution and coordinates relevant stakeholders, as required to support development initiatives; following a (build it, break it, fix it mentality)
• Responsible for developing and documenting detailed solution design and acts as an application SME through the design and development lifecycle ensuring alignment with Architecture
• Accountable for complex applications/ systems development, programming / coding
• Develops functional, technical and user interface designs for an application / system that meets the defined requirements (business, enterprise architecture direction, system performance and development standards)
• Consults on development of requirements and specifications and apply functional knowledge of business functions to design optimal software / systems
• Reviews technical deliverables throughout detailed design and development phase to ensure quality adherence and identify gaps or redesign requirements as needed
• Identifies, recommends, sources, negotiates and implements improvements/ solutions (buy/build/reuse) to enhance customer experience, availability, and/or reduce cost in support of client needs
• Works with Technology partners to define metrics and performance goals for the application
• Identifies and addresses application and data issues and cross-capability and cross-release issues that affect application integrity
• Researches/ analyzes business requirements to evaluate and recommend optimal solutions within business technology architecture; collects environment requirements for infrastructure implementation by analyzing the current system environment, using technical tools and utilities
• Works with Architects to ensure that environment modifications interact appropriately, data conversion impacts are considered, and other areas of impact are addressed and meet performance requirements of the project
• Contributes to the advancement of the TD engineering practice through strong collaboration, research, analytic, and problem-solving skills

• Leads coordination & and manages expectations with the technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success
• Performs or leads data analysis/investigations of complex issues/ test cases as part of UAT/PAT testing
• Escalation points for post implementation activities during the warranty period
• Approves code check-in/ check-out into source code repository as part of source code management
• Leads coordination with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments
• Is the lead participant in the design & architecture reviews or the application
• Escalation points for service-now requests & other activities related to release management
• Leads data engineering initiatives and capabilities, data governance principles and how they apply across the organization
• Leads design and implementation of enterprise/segment metadata management initiatives across the board with a wholistic mindset
• Adheres & leads standard security coding practices to ensure application is free of most common coding vulnerabilities
• Has oversight responsibility to ensure technical decisions, technical risks and lessons learned are identified, implemented and clearly documented
• Protects the interests of the organization – identifies and manages risks, and escalates non-standard, high-risk activities as necessary
• Adheres to internal policies/procedures and applicable regulatory guidelines
• Supports the Technology asset owner and the enterprise protect team for any matters related to risk management, information security and audit
• Leads initiatives on emerging trends/ developments and grows knowledge of the business, related tools, and techniques

• Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/ points of interest
• Provides thought leadership and/or industry knowledge for Data engineering best practices and participates in knowledge transfer within the team and business unit
• Keeps current on emerging trends/ developments and grows knowledge of the business, related tools and techniques
• Participates in personal performance management and development activities, including cross training within own team
• Keeps others informed and up-to-date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities
• Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices
• Supports the team by providing guidance and proactively identifying and resolving issues
• Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
• Contributes to a fair, positive and equitable environment that supports a diverse workforce
• Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

• 15+ years of Cloud Data Platforms: Advanced experience with Microsoft Azure, including Azure Data Factory, Azure Databricks, ADLS Gen2, and Synapse Analytics, as well as cloud-native data architecture patterns.
• 15+ years of Data Engineering and Programming: Expert-level proficiency in Python, SQL, and PySpark/Spark, with experience designing high-volume batch and real-time data pipelines using technologies such as Kafka.
• 15+ years of Modern Data Architecture: Deep knowledge of data lakehouse, data mesh, Data as a Service (DaaS), and ETL/ELT, along with distributed processing, API-based data integration, and scalable data platform design.
• 15+ years of DevOps, Infrastructure, and Automation: Strong experience with Git, Azure DevOps/GitHub, CI/CD, Terraform, automated testing, observability, and Infrastructure as Code for production-grade data platforms.
• 15+ years of Data Governance, Security, and Quality: Experience implementing Microsoft Purview and enterprise practices for metadata management, data cataloging, lineage, data quality, access controls, encryption, and governance in regulated environments.
• 3+ years of experience in AI and Generative AI Technologies: Hands-on experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), vector databases, embeddings, and AI/ML data pipelines. Experience using platforms such as Azure AI Foundry, Azure OpenAI, and MLflow to build and operationalize enterprise AI solutions.

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.) – Occasional
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Occasional
• Bending – Occasional
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Occasional
• Pushing – Never
• Pulling – Never
• Twisting – Never
• Concentrating for long periods of time – Continuous
• Applying common sense to deal with problems involving standardized situations – Continuous
• Reading, writing and comprehending instructions – Continuous
• Adding, subtracting, multiplying and dividing – Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

#LI-USTech

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.