Senior Data Engineering Architect – Scalable Cloud Platforms

Capital One - CA; Toronto; Hybrid; CAD 202,000 - 231,000; Full time

Benefits offered by this job

Hybrid work model

Work From Home allowance

Mental health coverage

Tuition subsidies

Job summary

Capital One Canada is seeking a Senior Staff Engineer to lead the design of scalable data platforms and distributed processing systems in a data-driven environment. You will review ongoing solution designs, craft high-level architectures, and collaborate with cross-functional teams to ensure security and governance align with enterprise standards.

You'll mentor data engineers in stream processing, data modeling, and ML Ops, while driving technical strategy and delivering architectures that

Qualifications

• At least 8 years of software engineering and systems architecture experience.
• At least 2 years building solutions in a public cloud (AWS/Azure/GCP).

Responsibilities

• Architect and lead the development of highly scalable data platforms and distributed processing systems.
• Define and enforce enterprise-wide data governance standards, ensuring data quality, privacy and compliance.
• Drive the technical strategy for data pipeline engineering with automated, observable workflows.
• Collaborate with stakeholders to deliver business value and innovation.
• Mentor data engineers in stream processing, data modeling and ML Ops.
• Champion data engineering excellence with best practices for schema management and data lifecycle policies.

Skills

Software Eng

Systems Arch

Data Platforms

Cloud AWS

Education

Bachelor’s Degree in CS/SE

Master’s Degree

Tools

AWS

Azure

GCP

Job description

Capital One Canada is seeking a Senior Staff Engineer to lead the design of scalable data platforms and distributed processing systems in a data-driven environment. You will review ongoing solution designs, craft high-level architectures, and collaborate with cross-functional teams to ensure security and governance align with enterprise standards.

You'll mentor data engineers in stream processing, data modeling, and ML Ops, while driving technical strategy and delivering architectures that