Senior Managing Engineer (US)

TD•Mount Laurel, NJ

1d•$123,680 - $200,200•Onsite

About The Position

The Senior Managing Engineer leads and manages a team of specialized Engineers professionals in the development and implementation of solutions to meet business needs and aligned with technology strategies and emerging industry standards; this includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards. Depth & Scope: Deep expertise and knowledge of specific domain or broad range of engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues. Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role. Expert technical skills and a strong understanding of the team's product; spends about half their time on technical issues. Provides leadership and guidance to several teams and solves cross-department issues. Participates in the development of business strategies. Possesses solid understanding of the technology and issues. Ensures solutions are consistent with organizational objectives. Utilizes subject matter expertise to introduce new technologies, or new versions of existing technologies, into the organization.

Requirements

Bachelor or Graduate degree
Strong academic background (e.g., computer science, engineering)
10+ years relevant experience
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment - 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

Nice To Haves

Expert-level experience designing, building, and operating large-scale cloud-native data platforms using Azure, Databricks, Spark, Delta Lake, ADLS, Azure Data Factory, Event Hubs, and related technologies.
Deep expertise in distributed data processing, query optimization, workload tuning, cluster sizing, and performance engineering for petabyte-scale data environments.
Advanced knowledge of data storage architectures including Data Lakehouse, Data Warehouse, Delta Lake optimization, indexing, partitioning, and file management strategies.
Strong software engineering background with advanced proficiency in Python, SQL, Scala, Spark, APIs, microservices, and object-oriented programming principles.
Expertise designing reusable engineering frameworks, SDKs, accelerators, and shared platform services to improve developer productivity and reduce operational overhead.
Deep knowledge of DataOps, DevOps, CI/CD, GitOps, automated testing, deployment pipelines, release management, and continuous delivery practices.
Expertise designing enterprise data integration patterns across operational systems, APIs, messaging platforms, data products, and analytical environments.
Experience enabling AI/ML and GenAI workloads through scalable feature engineering pipelines, vector-ready architectures, metadata management, and governed data access patterns.

Responsibilities

Leads and manages a team of specialized Engineers professionals in the development and implementation of solutions to meet business needs and aligned with technology strategies and emerging industry standards.
Planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
Provides leadership and guidance to several teams and solves cross-department issues.
Participates in the development of business strategies.
Utilizes subject matter expertise to introduce new technologies, or new versions of existing technologies, into the organization.