Director, Principal Data Engineer - AI & ML Enablement at Scotiabank
New York, NY 10281, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

301500.0

Posted On

19 Aug, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Quality, Security, Business Strategy, Platforms, Cross Functional Initiatives, Real Time Data

Industry

Information Technology/IT

Description

Requisition ID: 231138
Salary Range: 180,000.00 - 301,500.00
Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

OVERVIEW

Join a purpose-driven, high-performing team committed to innovation and impact. We are seeking a visionary and hands-on Principal Data Engineer to lead the enterprise-wide data engineering strategy that powers AI and ML capabilities. This role is pivotal in shaping the next-generation data architecture, ensuring scalability, governance, and operational excellence across the organization.

How To Apply:

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Responsibilities
  • Define and drive the long-term data engineering vision and architectural roadmap.
  • Lead the design and implementation of enterprise-scale data and AI pipelines—real-time, batch, and hybrid.
  • Establish frameworks for data governance, cataloging, and model alignment to ensure trust and transparency.
  • Partner with AI leadership to deliver infrastructure for scalable model training, Retrieval-Augmented Generation (RAG), and intelligent agents.
  • Build and manage feature stores and data models optimized for ML training and inference.
  • Architect robust, scalable pipelines for ingesting, transforming, and delivering structured and unstructured data.
  • Integrate data across modern cloud-native platforms (e.g., BigQuery, Databricks) and multi-cloud environments (Azure, GCP).
  • Champion secure, compliant data platforms and advocate for best practices across business and technology teams.
  • Mentor senior engineers and contribute to technical leadership forums to foster a culture of excellence.
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