Director, Data Platform & Integration Engineering Lead

TD Bank Group; New York (NY); On-site; USD 220,000 - 260,000; Full time

Job summary

TD Bank Group is seeking a Director, Data Platform & Integration Engineering Lead to own the engineering strategy for shared data platforms and integration capabilities across our AI & Data Technology stack. You will bring hands-on depth and leadership to modern lakehouse, data ingestion, streaming, and governance initiatives.

The role requires hands-on technical depth, product thinking, and strong commercial judgment to drive platform engineering, data integration, and analytics

Qualifications

• Experience building data platforms and governance controls.
• Leadership of data-platform, integration or platform engineering teams.
• Experience with cloud-native data architectures.

Responsibilities

• Define multiyear target architecture and roadmap for data platforms.
• Lead lakehouse and warehouse engineering on Databricks or Snowflake.
• Oversee batch, streaming, and API data integration.
• Set software engineering standards across Python/Java/Spring Boot.
• Embed governance with metadata, lineage and policy enforcement.
• Collaborate with CDO to automate data contracts and controls.

Skills

Databricks

Snowflake

Kafka

Flink

Collibra

Unity Catalog

Python

Java

Spring Boot

APIs

CI/CD

DevSecOps

Power BI

Education

Degree in CS/Software/Data Engineering

Tools

Dremio

Starburst

Denodo

Sigma

Job description

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 agre