Senior Manager, Data Engineering at Scotiabank
Toronto, ON M5H 1B6, Canada -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

0.0

Posted On

27 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Sql, Data Engineering, Google Cloud Platform, Data Processing, Programming Languages, Engineers, Data Modeling, Infrastructure, Data Solutions, Python, Code, Data Governance, Java, Version Control, Project Delivery, Scala

Industry

Information Technology/IT

Description

Requisition ID: 234237
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

How To Apply:

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Responsibilities

THE ROLE

The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a growing team with regional responsibilities, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.

AS PART OF THE ROLE, YOU’LL

The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP).

  • This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a growing team with regional responsibilities, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.
  1. Accountability
  • Design, build, and optimize data pipelines and architectures on GCP to support data products, ensuring scalability, reliability, and performance.
  • Lead a team of up to three Data Engineers, providing mentorship, technical direction, and performance feedback.
  • Collaborate with cross-functional teams (e.g., Data Scientists, Product Managers, and Software Engineers) to understand requirements and deliver data products that align with business goals.
  • Implement best practices for data governance, security, and compliance within GCP environments.
  • Monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing.
  • Drive the adoption of modern data engineering tools and methodologies, including ETL/ELT processes, data modeling, and orchestration.
  • Troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance.
  • Contribute to the evaluation and integration of new GCP services and third-party tools to enhance data capabilities.
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