Sr Data Engineer, Specialist

Canada·Torontosenior

Data EngineerData

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Quick Summary

Key Responsibilities

Data Engineering & Architecture: Design, build, and optimize scalable, secure, and repeatable data pipelines using AWS (S3, Glue, Lambda, Step Functions, Redshift, IAM) and Databricks (PySpark,

Requirements Summary

Implement robust data quality frameworks, monitoring, and alerting to ensure high trust in business-critical data assets. Troubleshoot data inconsistencies and ensure proper logging, testing,

Technical Tools

Data EngineerData

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
architecture and data modeling to help build the next generation of our data foundation , including data
platforms such as Advisor360, CRM integrations, ETF/MF data pipelines, and other enterprise analytics assets.

This is a senior, highly autonomous role. You will operate as a technical consultant and data architecture
thinker, working closely with stakeholders to understand ambiguous business needs, conduct independent
investigations, and design solutions that are scalable, reliable, and aligned to both business and technology
goals.

Ideal candidates have 5+ years of data engineering experience and thrive in environments where they drive
clarity, define standards, and elevate engineering best practices across the team

Responsibilities

~1 min read

Design, build, and optimize scalable, secure, and repeatable data pipelines using AWS (S3, Glue, Lambda, Step Functions, Redshift, IAM) and Databricks (PySpark, Lakeflow, Delta Lake, Unity Catalog).

Serve as the technical leader for data ingestion pipelines, modeling new datasets such as Advisor360, CRM, ETF, and Mutual Fund platforms.

Apply strong data modeling (dimensional, canonical, and domain-driven) principles to support analytics, reporting, and AI/ML use cases.

Ensure alignment with enterprise data architecture standards, promoting reusability, governance, and long-term maintainability.

With limited guidance, independently perform deep investigations, identify data issues, and propose solutions that balance performance, cost, risk, and business needs.

Engage business stakeholders to gather ambiguous requirements, ask the right questions, and translate them into clear technical designs.

Provide thought leadership and recommend technical patterns, frameworks, and toolsets.

Implement robust data quality frameworks, monitoring, and alerting to ensure high trust in business-critical data assets.

Troubleshoot data inconsistencies and ensure proper logging, testing, and recovery mechanisms across pipelines.

Lead regression testing, software upgrades, and production deployments with strong change control discipline.

Lead all phases of solution development—from design to deployment and operationalization.

Mentor and guide other engineers in coding standards, architecture patterns, Databricks best practices, and AWS platform usage.

Partner with Data Architecture, Analytics, Product, and Business teams to deliver solutions that improve decision-making.

Provide training sessions and documentation to uplift the data engineering maturity across the organization.

Participate in strategic initiatives such as AI readiness, data unification efforts, metadata strategy, and enterprise integration roadmaps.

Drive continuous improvement in engineering frameworks, onboarding workflows, and platform capability.

Nice to Have

~2 min read

Experience in asset management, wealth management, or financial services (ETF, Mutual Funds, CRM, Advisor analytics).

Experience with enterprise data quality tools and metadata management concepts.

Familiarity with modern semantic layers, dbt, or domain-oriented data mesh concepts.

Undergraduate degree or equivalent professional experience in Computer Science, Engineering, Information Systems, or related field.

Pay Transparency

Expected Salary Range: $90,000-$140,000

Our compensation ranges are based on role, level, and local market. Individual pay within the range is determined by factors such as job-related skills, experience, and relevant education or training. For part-time roles, pay will be pro-rated based on regularly scheduled hours.

In addition to the range above, Vanguard’s total compensation package may include performance-based incentives, discretionary bonuses, and other perks. We also offer comprehensive benefits such as health insurance, accident and life insurance, and retirement savings plans. Your recruiter will be able to provide additional details on the total compensation offering during the hiring process.

AI Disclosure Statement
Vanguard does not use artificial intelligence (AI) or automated decision-making tools in its recruitment process. All application reviews and hiring decisions are made by our recruitment team.

Accommodations

Vanguard is committed to fostering an accessible and inclusive workplace. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. If you require accommodation at any stage of the recruitment process, please inform us. We will work with you to meet your needs, and you can reach us at americas_crewcentral@vanguardhr.com , quoting the job ID and job title.

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.