Senior Data & AI Engineer – Azure, Databricks, GenAI

Aimlroles; Mount Laurel Township (NJ); On-site; USD 98,000 - 159,000; Full time

Job summary

TD Bank is seeking a Data Engineer III to deliver a broad range of data engineering functions including data modeling, data quality, ETL, and metadata management. The role emphasizes expertise in data engineering frameworks and collaboration across multiple teams to design scalable solutions.

Responsibilities include leading complex data modeling, implementing data provenance and lineage, and supporting AI/ML workloads within a regulated financial services environment.

Qualifications

• 5+ years of experience in data engineering or equivalent.

Responsibilities

• Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
• Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata.
• Supports the acquisition and ingestion of data.
• Articulates complex, large scale, and high impact technical design and development details to non-technical business partners.

Education

Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline

Graduate Degree preferred

5+ years of relevant experience

Tools

Azure

Databricks

Python

SQL

Spark/PySpark

Databricks Genie

MLflow

vector search

RAG

GenAI

Job description

TD Bank is seeking a Data Engineer III to deliver a broad range of data engineering functions including data modeling, data quality, ETL, and metadata management. The role emphasizes expertise in data engineering frameworks and collaboration across multiple teams to design scalable solutions.

Responsibilities include leading complex data modeling, implementing data provenance and lineage, and supporting AI/ML workloads within a regulated financial services environment.