Enter a job title or keyword

Data Engineering & Platform Enablement Practice Lead (US)

TD Bank


Job Location:

Mount Laurel, NJ - USA

Hourly Salary: USD 123680 - 200200
Posted: 3 September 2026 (17 hours ago)
Application Deadline: 1 December 2026
Vacancies: 1 Vacancy

Job Summary

Work Location:

Mount Laurel New Jersey United States of America

Hours:

40

Pay Details:

$123680 - $200200 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 candidates 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.

Line of Business:

Technology Solutions

Job Description:

The Data Engineering & Platform Enablement role is responsible for designing building and operating the enterprise technology reference data platform that serves as the foundation for technology governance reporting analytics metrics and decision-making. Reporting to the Head of Technology Data Management this role leads the onboarding integration transformation and delivery of technology data from infrastructure cyber cloud AI and enterprise systems into a Databricks-based data fabric.

The role is accountable for establishing scalable data ingestion patterns integration frameworks platform engineering standards and operational controls that ensure technology data is accurate accessible reliable secure and consumable. This position plays a critical leadership role in enabling enterprise-wide data products dashboards KPIs risk reporting and operational insights through modern data engineering and platform capabilities.

Data Platform Strategy & Enablement

  • Lead the design implementation and evolution of the Databricks-based technology reference data platform.

  • Develop platform standards engineering patterns and operating procedures that support enterprise scalability and sustainability.

  • Establish a modern data ecosystem capable of supporting governance reporting analytics and AI-driven use cases.

  • Drive platform modernization initiatives that improve performance automation resilience and user experience.

Data Ingestion & System Onboarding

  • Lead onboarding of technology systems of record into the enterprise data platform.

  • Design and implement scalable integration patterns including APIs event-driven architectures data streaming and zero-copy data sharing.

  • Establish standards for source system connectivity transformation validation and data movement.

  • Partner with source system owners to ensure data is delivered accurately securely and efficiently.

Data Engineering & Transformation

  • Design build and manage data pipelines that transform disparate source data into standardized enterprise data assets.

  • Develop reusable ingestion and transformation frameworks that accelerate onboarding of new data sources.

  • Implement automated controls to ensure data quality integrity completeness and consistency.

  • Optimize data processing and storage solutions to support large-scale technology data domains.

Data Operations & Reliability

  • Establish monitoring and observability capabilities to ensure platform health and data reliability.

  • Define operational support processes service-level agreements and issue management procedures.

  • Lead remediation efforts for data delivery issues performance bottlenecks and platform incidents.

  • Ensure platform availability resiliency and business continuity requirements are met.

Data Security Controls & Compliance

  • Ensure compliance with enterprise security data protection and regulatory requirements.

  • Implement access controls encryption standards audit logging and monitoring capabilities.

  • Partner with Risk Security and Compliance teams to support governance objectives.

  • Ensure adherence to enterprise technology and data management standards.

Enablement of Data Products

  • Support development and operationalization of technology data products.

  • Ensure data products are sourced from authoritative systems and delivered through governed engineering processes.

  • Build reusable data services supporting reporting analytics APIs and business intelligence platforms.

  • Enable self-service access to trusted enterprise technology data where appropriate.

Partnership & Stakeholder Engagement

  • Partner with Data Architecture Governance Reporting and Business Intelligence teams to deliver integrated solutions.

  • Collaborate with Infrastructure Cybersecurity Cloud Engineering and Enterprise Architecture teams.

  • Participate in enterprise governance forums and provide technical leadership on platform capabilities and integration approaches.

  • Influence platform and engineering decisions that improve enterprise data maturity.

Employee / Team Accountabilities

  • Build and lead a high-performing team of data engineers platform engineers integration specialists and DataOps professionals.

  • Establish clear team objectives performance measures and development plans.

  • Foster a culture of accountability innovation automation and continuous improvement.

  • Manage team capacity prioritization resource allocation and delivery commitments.

  • Ensure engineering teams follow enterprise standards controls and best practices.

  • Develop technical talent and mentoring programs to strengthen engineering capabilities.

  • Promote collaboration across architecture governance analytics and technology teams.

Depth & Scope:

  • Provides people management leadership by hiring the best talent setting goals developing staff managing employee performance and compensation decisions promoting teamwork and handling any/all disciplinary actions as required
  • Recognized as an expert in a specific data design or data engineering discipline field who can provide
  • People leader with expert knowledge of disciplines and practices in field of expertise
  • Deep expertise and knowledge of specific domain or broad range of TD frameworks technology tools best practices processes and procedures as well as broader organization issues
  • Proven ability in soft skills people management of large teams
  • Previous experience providing guidance on the work of practitioners as related to the quality of work being produced delivered & speed of delivery/speed to market
  • Ability to develop colleagues to be masters of their craft in the market around us
  • Quickly adapts to customer stakeholder and regulatory needs in collaboration with Platform and Journey teams
  • Experienced in the continuous assessment of Data Engineering Practitioners and their craft to ensure enterprise practice standards are upheld
  • Facilitates and fosters Practice Community of Interest and use of this practice across the Technology organization
  • Contributes to the development of coaching strategies for individuals within their area of expertise
  • Provides leadership and guidance to several teams and solves cross-department issues
  • Participates in the development of business and practice strategies
  • Expert collaborator and is known for bringing diverse teams together to achieve a common goal
  • Collaborates with other PLs in delivery of Practice-Area objectives

Education & Experience:

  • University or Graduate / post graduate degree in Data Management or related Computer Science or Engineering discipline; or equivalent practical experience
  • 10 years of relevant experience in field of specialization

Preferred Qualifications:

  • Databricks Data Engineer Professional

  • Azure Data Engineer Associate

  • AWS Data Analytics or Data Engineering Certification

  • Google Professional Data Engineer

  • Snowflake Kafka or Streaming Technology Certifications

  • ITIL Foundation

  • Experience in data engineering data platform delivery software engineering cloud data platforms or related technology roles.

  • Experience leading engineering or platform teams in large enterprise environments.

  • Proven experience designing and implementing enterprise data lakes data fabrics or cloud-native data platforms such as Databricks.

  • Strong experience building APIs event-driven architectures streaming platforms and modern integration solutions.

  • Hands-on experience developing scalable ETL/ELT pipelines and data transformation frameworks.

  • Experience with cloud ecosystems including Azure AWS or Google Cloud.

  • Strong understanding of DataOps observability monitoring automation and platform operations.

  • Experience supporting enterprise reporting analytics AI and machine learning use cases through modern data platforms.

  • Experience working in highly regulated organizations with strong governance security and compliance requirements.

  • Excellent stakeholder management communication and leadership skills.

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. 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.

Who We Are:

TD is one of the worlds 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 95000 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

Additional Information:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 youre 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.

Were 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 youve got everything you need to succeed in your new role.

Interview Process
Well 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.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability status as a protected veteran or any other characteristic protected under applicable federal state or local law.

If you are an applicant with a disability and need accommodations to complete the application process please email TD Bank US Workplace Accommodations Program at . Include your full name best way to reach you and the accommodation needed to assist you with the applicant process.


Required Experience:

Senior IC


About Company

Company Logo

Choose platform to search for TD Jobs

View Profile View Profile