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Added 24 days ago
Associate Director, Lead Software Developer - Halifax
RBC
Halifax, NS · Bedford, QC
Full-time
…culture at scale: driving CI/CD excellence, championing modern DevOps practices, and integrating cutting-edge LLM-based tools into real workflows. If you're energized by solving complex…
Added 23 days ago
Senior Data Engineer, GFT
RBC
Toronto, ON
Full-time
Expert in DevOps practices and tools for CI/CD pipelines.
Added 23 days ago
Lead Data Engineer
RBC
Toronto, ON
Full-time
Expert in DevOps practices and tools for CI/CD pipelines.
Added 21 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
CI/CD & DevOps: Experience with GitHub Actions (or similar), container-based deployments (Docker, OpenShift/Kubernetes), progressive delivery strategies, and security scanning (SAST, SCA,…
Added 21 days ago
Senior Core Java Developer with E-trade exp.
Synechron
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
…end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through…
Added 1 month ago
Senior Fullstack Developer
DATA Communications Management Corp
Richmond Hill, ON
$90,000 to $110,000 CAD / year
Full-time
As a Senior Fullstack Developer, you will take ownership of complex, end-to-end development features across our platform. You'll work across the stack from data models and APIs to the React…
Added 21 days ago
Python Developer
Lorven Technologies Inc.
Mississauga, ON
Full-time
Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.
Added 20 days ago
AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD pipelines (Docker, GitHub Actions, Jenkins)
Added 20 days ago
AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Proficient with MLOps/DevOps, containers, Kubernetes, CI/CD pipelines (Docker, GitHub Actions, Jenkins)
Added 19 days ago
Co-op Winter 2027 DevOps Engineering - 8-16 Months
General Dynamics Missions System International
Ottawa, ON
Internship
We're seeking a DevOps Engineering co-op to join our Ottawa, ON or Calgary, AB team Fall 2026.
Added 19 days ago
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
Full-time · Remote
Added 22 days ago
Senior Java Software Engineer
Wissen Technology
Montreal, QC
Full-time
…Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge…
Added 22 days ago
Java Technical Lead
Wissen Technology
Montreal, QC
Full-time
…Strategies, Cross-Platform Mobile Experiences, CI/CD-Powered Agile DevOps, Automated Quality Engineering, and cutting-edge…
Added 22 days ago
MLOps Developer
L'Oréal
Toronto, ON
Full-time
…are exceedingly valued. We are seeking an experienced MLOps developer, helping us scale the next generation of beauty…
Added 21 days ago
System Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…system reliability. You’ll work closely with architecture, DevOps, business, and analytics teams to deliver systems that meet enterprise-grade standards for performance, observability,…
Added 21 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
Royal Bank of Canada
Toronto, ON
Full-time
Collaborate with AI researchers, Software Architects, DevOps engineers, and product teams to translate AI capabilities into real-world applications, fostering a culture of experimentation…
Added 21 days ago
Staff Engineer – Software Development, Architecture, Security & Governance
RBC
Toronto, ON
Full-time
Collaborate with AI researchers, Software Architects, DevOps engineers, and product teams to translate AI capabilities into real-world applications, fostering a culture of experimentation…
Added 21 days ago
System Engineer
RBC
Toronto, ON
Full-time
…system reliability. You’ll work closely with architecture, DevOps, business, and analytics teams to deliver systems that meet enterprise-grade standards for performance, observability,…
Added 20 days ago
Python Developer - Pathwise
Aon Corporation
Toronto, ON
Full-time
Build and enhance automation solutions for model implementation and DevOps processes, simplifying workflows for modelling actuaries and other non‑developer users.
Added 23 days ago
Senior AI Engineer
J&M Group
Toronto, ON
Contract
Expertise with CI/CD pipelines, containerization, infrastructure automation, and DevOps practices.
Added 21 days ago
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
Full-time
Experience with CI/CD, GitHub, DevOps workflows, and automated testing.
Added 23 days ago
Java Application Developer
Pacer Group
Toronto, ON
$55 to $60 CAD / hour
Contract
Job Title: Senior Full Stack Developer Java / Angular
Added 2 months ago
Manager, Software Engineering
AltaML
Calgary, AB · Toronto, ON
Full-time
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps).
Added 23 days ago
Senior Backend Engineer .NET & Python
PosiTrace
Vancouver, BC
$110,000 to $145,000 CAD / year
Full-time
Collaborate with the Rails team, DevOps, and QA; work with the Engineering Team Lead and VP of Engineering on technical direction
Added 21 days ago
AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Use and enhance our DevOps practices and tools to enforce software guardrails, increase automation, and help engineers build code faster, at a lower cost, and lower risk

Vanguard

Sr Data Engineer, Specialist

Toronto, ON, Canada

Pay: Expected Salary Range: $90,000-$140,000
Job type: Full-time
Apply by: Nov 2, 2026
Posting language: English
Posted: Sep 3, 2026

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Original job description

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:

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, 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.

Consultative Problem Solving:

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.

Data Quality, Reliability & Operations:

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.

Collaboration & Leadership:

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.

Special Projects:

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.

Required Skills:

5+ years of experience in data engineering, data architecture, or large-scale distributed data systems.

Expert-level experience with cloud platforms such as AWS, GCP, or Azure, leveraging services for data storage, ingestion, pipeline orchestration, database or lake house management, data transformation.

5+ years of hands-on experience designing, developing, and supporting enterprise-scale data pipelines on the Databricks Lakehouse platform using PySpark, Delta Lake, Databricks Workflows, and Lakeflow Declarative Pipelines

Strong background in data modeling (dimensional, canonical, data vault, or domain-driven).

Proven ability to work independently with minimal direction and deliver high-quality solutions in ambiguous environments.

Demonstrated experience translating complex business problems into scalable technical solutions.

Strong SQL and Python skills, with emphasis on ETL/ELT pipeline development.

Experience with CI/CD, GitHub, DevOps workflows, and automated testing.

Preferred Skills:

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.

How We Work

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.

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines using AWS and Databricks while serving as a technical leader for enterprise data assets. Collaborate with stakeholders to translate ambiguous business needs into reliable, high-quality technical solutions.

Requirements

Requires 5+ years of experience in data engineering and expert-level proficiency with cloud platforms and Databricks. Candidates must possess strong data modeling skills and the ability to work independently in complex, enterprise-scale environments.

Skills

AWS
Databricks
PySpark
Data modeling
Data engineering
Python
SQL
Delta Lake
ETL/ELT
CI/CD
DevOps
Data architecture
Cloud platforms
Distributed data systems
Data quality
Technical consulting

Benefits

Health insurance
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

AWS
Databricks
PySpark
Delta Lake
S3
Glue
Lambda
Redshift
Unity Catalog
Data modeling
Dimensional modeling
Data vault
ETL
ELT
CI/CD
GitHub
DevOps
Python
SQL
Data mesh
dbt
Metadata management
Data quality
Financial services
Asset management
Wealth management
Data pipelines
Cloud computing
Lakehouse
Enterprise architecture

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