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Director, Data Platform & Integration Engineering Lead

Pay
USD 220,000–260,000/yearAnnual period assumed. Location-specific pay — pay source
Pay Detail: $220,000 - $260,000 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 candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

The role brings platform engineering, data integration and data architecture into one accountable capability, and requires hands-on technical depth, engineering leadership, product thinking and commercial judgment.

  • Define multiyear platform and integration architecture, standards and roadmap

  • Lead lakehouse and warehouse engineering on Databricks, Snowflake or equivalent

  • Lead batch, real-time, event-driven and API integration, including Kafka and Flink standards

  • Build metadata, lineage, quality and policy enforcement into the platform

  • Lead engineering managers, architects and engineers and manage strategic vendors

From the employer’s posting
The role brings platform engineering, data integration and data architecture into one accountable capability, and requires hands-on technical depth, engineering leadership, product thinking and commercial judgment.
Define the multiyear target architecture and roadmap; set standards and reference architectures
Lead lakehouse and warehouse engineering on Databricks, Snowflake or equivalent
Lead batch, real-time, event-driven and API integration; set Kafka and Flink standards
Build metadata, lineage, quality and policy enforcement into the platform
lead engineering managers, architects and engineers; manage strategic vendors

What you’ll bring

All qualifications

Core experience

  • Deep experience engineering modern enterprise data platforms: lakehouse, warehouse, distributed query, streaming and data processing.
  • 10+ years related experience.
  • Proficiency in Python, Java, Spring Boot, APIs and cloud-native engineering patterns; familiarity with BI Tools such as Sigma, Strategy, Power BI.
  • Experience in a regulated environment with security, resilience and data-control expectations.

Preferred experience

  • Experience on Azure or another major cloud, and enabling generative and agentic AI workloads through governed data.
  • Degree in computer science, software or data engineering; advanced degree an asset.
Qualification wording
Deep experience engineering modern enterprise data platforms: lakehouse, warehouse, distributed query, streaming and data processing. Databricks and/or Snowflake strongly preferred.
10+ years related experience.
Proficiency in Python, Java, Spring Boot, APIs and cloud-native engineering patterns; familiarity with BI Tools such as Sigma, Strategy, Power BI.
Experience in a regulated environment with security, resilience and data-control expectations.
Experience on Azure or another major cloud, and enabling generative and agentic AI workloads through governed data.
Degree in computer science, software or data engineering; advanced degree an asset.

About TD International

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.

In the employer’s words · Read in context

Apply at TD International

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 12, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 14, 2026
Employer says posted
Nov 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Higher than most similar jobs

$220K–$260K against $154K–$226K, the middle half of what similar US postings state.

From 3,103 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 8 and day 57.

From 9,509 similar postings that came down. Coming down is not always a hire.

TD International is hiring

35 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Azure
  • Collibra
  • Databricks
  • Kafka
  • Power BI
  • Sigma
  • Snowflake
Where the posting names them
- Modernize integration and streaming. Lead batch, real-time, event-driven and API integration; set Kafka and Flink standards; define when to move, stream, virtualize (Dremio, Starburst, Denodo) or query data in place. - Set software-engineering standards. Apply Python, Java, Spring Boot, API, CI/CD, DevSecOps and infrastructure-as-code practices; run pipelines and platforms as production software. - Embed governance and controls. Build metadata, lineage, quality and policy enforcement into the platform (Collibra, Unity Catalog); partner with the CDO organization to automate controls and data contracts.
- Working knowledge of Kafka, Flink, data virtualization (Dremio, Starburst, Denodo) and governance tooling (Collibra, Unity Catalog). - Proficiency in Python, Java, Spring Boot, APIs and cloud-native engineering patterns; familiarity with BI Tools such as Sigma, Strategy, Power BI. - Significant experience leading data-platform, integration or platform-engineering organizations, including global teams.
- Capital markets, wholesale banking, market-data or risk-data experience. - Experience on Azure or another major cloud, and enabling generative and agentic AI workloads through governed data. - Degree in computer science, software or data engineering; advanced degree an asset.
- Set software-engineering standards. Apply Python, Java, Spring Boot, API, CI/CD, DevSecOps and infrastructure-as-code practices; run pipelines and platforms as production software. - Embed governance and controls. Build metadata, lineage, quality and policy enforcement into the platform (Collibra, Unity Catalog); partner with the CDO organization to automate controls and data contracts. - Enable analytics consumption. Establish patterns for Sigma, Strategy and Power BI on governed data products with shared semantics, and rationalize overlapping BI tooling.
- Deep experience engineering modern enterprise data platforms: lakehouse, warehouse, distributed query, streaming and data processing. Databricks and/or Snowflake strongly preferred. - Working knowledge of Kafka, Flink, data virtualization (Dremio, Starburst, Denodo) and governance tooling (Collibra, Unity Catalog). - Proficiency in Python, Java, Spring Boot, APIs and cloud-native engineering patterns; familiarity with BI Tools such as Sigma, Strategy, Power BI.
- Set platform and integration strategy. Define the multiyear target architecture and roadmap; set standards and reference architectures; decide where to build, buy, consolidate or retire; rationalize duplicated platforms and pipelines. - Lead data-platform engineering. Lead lakehouse and warehouse engineering on Databricks, Snowflake or equivalent; provide reusable processing frameworks and self-service so domain data-product teams do not rebuild foundations. - Modernize integration and streaming. Lead batch, real-time, event-driven and API integration; set Kafka and Flink standards; define when to move, stream, virtualize (Dremio, Starburst, Denodo) or query data in place.
What you bring - Deep experience engineering modern enterprise data platforms: lakehouse, warehouse, distributed query, streaming and data processing. Databricks and/or Snowflake strongly preferred. - Working knowledge of Kafka, Flink, data virtualization (Dremio, Starburst, Denodo) and governance tooling (Collibra, Unity Catalog).
- Lead data-platform engineering. Lead lakehouse and warehouse engineering on Databricks, Snowflake or equivalent; provide reusable processing frameworks and self-service so domain data-product teams do not rebuild foundations. - Modernize integration and streaming. Lead batch, real-time, event-driven and API integration; set Kafka and Flink standards; define when to move, stream, virtualize (Dremio, Starburst, Denodo) or query data in place. - Set software-engineering standards. Apply Python, Java, Spring Boot, API, CI/CD, DevSecOps and infrastructure-as-code practices; run pipelines and platforms as production software.
- Embed governance and controls. Build metadata, lineage, quality and policy enforcement into the platform (Collibra, Unity Catalog); partner with the CDO organization to automate controls and data contracts. - Enable analytics consumption. Establish patterns for Sigma, Strategy and Power BI on governed data products with shared semantics, and rationalize overlapping BI tooling. - Operate platforms as products and lead people. Own roadmaps, SLOs, reliability, cost and TCO; lead engineering managers, architects and engineers; manage strategic vendors; build succession.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Work Location:

New York, New York, United States of America

Hours:

40

Line of Business:

Technology Solutions

Pay Detail:

$220,000 - $260,000 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 candidate's 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.

Job Description:

Preferred Qualifications:


Role overview

The Director, Data Platform & Integration Engineering Lead owns the engineering strategy and delivery of shared data platforms and integration capabilities for TDS AI & Data Technology: strategic data platforms and lakehouse, processing frameworks and self-service, data ingestion, streaming and events, and metadata, connectivity and shared pipelines.


The role brings platform engineering, data integration and data architecture into one accountable capability, and requires hands-on technical depth, engineering leadership, product thinking and commercial judgment.


What you’ll do

  • Set platform and integration strategy. Define the multiyear target architecture and roadmap; set standards and reference architectures; decide where to build, buy, consolidate or retire; rationalize duplicated platforms and pipelines.
  • Lead data-platform engineering. Lead lakehouse and warehouse engineering on Databricks, Snowflake or equivalent; provide reusable processing frameworks and self-service so domain data-product teams do not rebuild foundations.
  • Modernize integration and streaming. Lead batch, real-time, event-driven and API integration; set Kafka and Flink standards; define when to move, stream, virtualize (Dremio, Starburst, Denodo) or query data in place.
  • Set software-engineering standards. Apply Python, Java, Spring Boot, API, CI/CD, DevSecOps and infrastructure-as-code practices; run pipelines and platforms as production software.
  • Embed governance and controls. Build metadata, lineage, quality and policy enforcement into the platform (Collibra, Unity Catalog); partner with the CDO organization to automate controls and data contracts.
  • Enable analytics consumption. Establish patterns for Sigma, Strategy and Power BI on governed data products with shared semantics, and rationalize overlapping BI tooling.
  • Operate platforms as products and lead people. Own roadmaps, SLOs, reliability, cost and TCO; lead engineering managers, architects and engineers; manage strategic vendors; build succession.

What you bring

  • Deep experience engineering modern enterprise data platforms: lakehouse, warehouse, distributed query, streaming and data processing. Databricks and/or Snowflake strongly preferred.
  • Working knowledge of Kafka, Flink, data virtualization (Dremio, Starburst, Denodo) and governance tooling (Collibra, Unity Catalog).
  • Proficiency in Python, Java, Spring Boot, APIs and cloud-native engineering patterns; familiarity with BI Tools such as Sigma, Strategy, Power BI.
  • Significant experience leading data-platform, integration or platform-engineering organizations, including global teams.
  • Experience in a regulated environment with security, resilience and data-control expectations.
  • Strong financial management: cloud economics, licensing, vendor management and TCO.

Preferred qualifications

  • Capital markets, wholesale banking, market-data or risk-data experience.
  • Experience on Azure or another major cloud, and enabling generative and agentic AI workloads through governed data.
  • Degree in computer science, software or data engineering; advanced degree an asset.

How success will be measured

  • Adoption and reuse of common platform, ingestion and integration capabilities; time to onboard a new source or use case.
  • Reduction in bespoke pipelines, point-to-point integrations, legacy technology and technical debt.
  • Platform availability, streaming latency and reliability; fewer material incidents.
  • Metadata, lineage and ownership coverage; timely remediation of risk and control issues.
  • Platform cost efficiency and retention of critical engineering talent.

*General Job Description:

The Director - Tech Solutions TDS Management builds and maintains strong business relationship with assigned clients / internal partners and provides direction and guidance on optimal technology solutions/services to meet business needs. The position generally manages a varied team of IT professionals and bridges the gap between the business and technology, and leverages resources across functional or specialized technology areas to ensure end to end delivery of agreed upon solutions or services within planned forecasts / cost estimates. Role generally supports a significant Business area, Product Group, Enterprise Platform, Service or Capability within a Segment CIO or Functional area.


Depth & Scope:

  • Role generally supports a significant business area, product group, Enterprise Platform, Service or Capability under a Segment CIO or technology functional area.
  • Sets work direction at an operational level, works autonomously in the management of the unit and collaborates with other business or technology leaders to establish and execute on common goals with a medium to longer term business perspective
  • Expert knowledge of the business and bank technology standards (e.g., infrastructure, architecture, processes, applications) from a strategic perspective and managing/ directing teams and projects
  • Sound knowledge of external competition, emerging, industry and/or market trends in relation to own business
  • Integrator role that oversees various technology functions / resources to deliver business technical solutions or shared service
  • Oversees a sizable and varied team of technology professionals (e.g., up to 50+ consisting of Application Developers, Solutions Designers, Business Systems Analysts, Specialists, and/or Project Managers) in the end to end delivery of complex projects, system enhancements / applications and/or application or service management
  • Directs/manages large-scale applications/ projects across multiple product lines/ businesses, involving significant scope and complexity
  • Understands strategic direction (including financials) and champions alliances to benefit the Bank and/or department; advocates for operational improvements to enhance the divisions value to the organization
  • Role typically reports to an Executive role


Education & Experience:

  • Undergraduate degree or Technical Certificate.
  • Graduate degree, preferred.
  • 10+ years related experience.
  • Expert knowledge of the business and bank technology standards (e.g., infrastructure, architecture, processes, applications) from a strategic perspective and managing/ directing teams and projects.
  • Sound knowledge of external competition, emerging, industry and/or market trends in relation to own business.
  • Understands strategic direction (including financials) and champions' alliances to benefit the Bank and/or department; advocates for operational improvements to enhance the divisions value to the organization.

Who We Are

TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience. With more than 6,500 professionals operating out of 40 cities across the globe, we strive to make every interaction, product and experience remarkably human and refreshingly simple.  Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank. 

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:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll 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 you’re 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.  

We're 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 you’ve got everything you need to succeed in your new role.

Interview Process
We’ll 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 USWAPTDO@td.com.  Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.
 

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Pay
Pay Detail: $220,000 - $260,000 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 candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
Location & working pattern

New York, New York

Working pattern and location restrictions need checking in the full posting.

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