Data Engineer III (US)

The Data Engineer III role at TD Bank is focused on delivering advanced data engineering capabilities, serving as a subject matter expert across modeling, ingestion, ETL, metadata management, and data governance. This position performs complex technical work independently and collaborates with multiple technology and business partners to support platform and journey outcomes.

Responsibilities

• Conduct data analysis and assess data management needs for a Platform or Journey, including complex analysis across multiple pods or products.
• Maintain expert knowledge of upstream data through data profiling, data quality reporting, and metadata production.
• Support acquisition and ingestion of data into required environments.
• Explain complex, large-scale, and high-impact technical design and development details to non-technical business partners.
• Elicit, analyze, and interpret business and data requirements to build end-to-end business solutions, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life-cycle management, governance, lineage, and metadata.
• Ensure data is maintained in alignment with enterprise data standards, policies, and guidelines.
• Develop and maintain complex data models using industry standard modeling tools.
• Develop and maintain complex ETL jobs and frameworks using the Bank’s standard tools.
• Support development and testing teams in resolving data issues, including escalation support for complex problems.
• Partner with stakeholders to interpret and analyze data.
• Build effective working relationships within the pod and across partner teams to drive collaboration on pod deliverables.
• Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect, and others to support delivery success.
• Support QA teams with data analysis and investigations of complex issues and test cases for SIT/UAT/PAT testing.
• Provide oversight for post-implementation activities during the warranty period.
• Execute and approve code check-in and check-out into the source code repository as part of source code management.
• Work with ITS/ARE teams to support code packaging and deployment (CI & CD) into higher environments.
• Act as a lead participant in design and architecture reviews.
• Raise ServiceNow requests and work with the change management team to support release management activities.
• Lead data engineering initiatives and capabilities, including how data governance principles apply across the organization.
• Ensure metadata and data lineage are captured and compatible with enterprise metadata and data management tools and processes.
• Adhere to and contribute toward standard security coding practices to help keep applications free of common vulnerabilities.
• Identify and document technical decisions, technical risks, and lessons learned, and implement enhancements accordingly.
• Protect organizational interests by identifying and managing risks and escalating non-standard, high-risk activities as needed.
• Follow internal policies and procedures and applicable regulatory guidelines.
• Keep current on emerging trends and developments, growing knowledge of the business, related tools, and techniques.
• Enable teammates through knowledge sharing and engineering best practices, including active mentoring and guidance.
• Participate fully as a team member by supporting a positive work environment, promoting quality and innovation, and ensuring timely communication of issues and relevant updates.
• Provide thought leadership and industry knowledge for data engineering best practices, supporting knowledge transfer across the team and business unit.
• Participate in personal performance management and development activities, including cross training within the team.
• Maintain up-to-date project status communications and provide relevant information related to day-to-day activities.
• Lead, motivate, and develop relationships with internal and external partners and stakeholders to strengthen collaboration.
• Contribute to a fair, positive, and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for the business area/function and the bank, internally and/or externally.

Requirements

• Degree, postgraduate degree, or technical certificate in Data Management or a related discipline (for example, Computer Science or Engineering), or equivalent practical experience.
• Graduate degree preferred.
• 5+ years of relevant experience.
• 5+ years of hands-on experience using SQL and Python to develop, analyze, and optimize data-driven solutions.
• 5+ years of experience in data modeling, including designing, developing, and maintaining basic data models aligned to business and technical objectives.
• 5+ years of hands-on experience with enterprise relational database platforms such as SQL Server, Synapse Dedicated Pool, or Oracle.
• 3+ years of experience championing knowledge growth, best practices, and platform support for Unity Catalog and Databricks Lakehouse solutions across technical teams.
• Experience analyzing and performance tuning SQL queries.
• Good experience in the Banking/Financial domain.
• Strong analytical and problem-solving skills to troubleshoot and resolve database-related issues.

Technologies

• SQL, Python, data modeling
• SQL Server, Synapse Dedicated Pool, Oracle
• Unity Catalog, Databricks Lakehouse
• ETL, CI & CD, ServiceNow

Work Location and Schedule

• Location: Mount Laurel, New Jersey, United States of America (onsite)
• Hours: 40
• Travel: Domestic travel occasional; international travel never

Compensation

• Salary range: USD 98,160 - 159,270 per year
• Pay details: Base pay actually offered may vary based on the candidate’s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs
• Incentives: Eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan
• Total Rewards: Includes base salary and variable compensation/incentive awards plus several other key plans

Benefits

• 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
• Reward and recognition

Line of Business

Technology Solutions

Physical Requirements

• Performing sedentary work: continuous
• Performing multiple tasks: continuous
• Operating standard office equipment: continuous
• Sitting: continuous
• 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
• Standing: occasional; walking: occasional
• Responding quickly to sounds: occasional
• Squatting, bending, reaching forward: occasional
• Lifting/carrying (under 25 lbs.): occasional; lifting/carrying (over 25 lbs.): never
• Near zero movement activities such as kneeling, crawling, climbing, reaching overhead, pushing, pulling, twisting: never