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TB
TD Bank, N.A.
Principal Data Engineer (US)
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Based on New Jersey data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$116,216 / year median in New Jersey
+11% projected growth
Job Description
Work Location:
Mount Laurel, New Jersey, United States of America Hours:
40Pay Details:
$148,720- $223,080 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues.
Line of Business:
Technology Solutions Job Description:
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 ownerEducation & 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 specializationPreferred 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 Requirements:
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.