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Added 39 mins ago
O
Senior Engineering Manager - Stratus Imaging Archive
Optum
Richmond, BC
- Full-time
The Senior Engineering Manager will lead engineering teams building and evolving the Stratus Imaging Archive product and play a critical role in advancing our cloud-native Vendor Neutral…
Added 55 mins ago
N
Junior BDE - Sales (Enterprise AI Products)
nugget.ai
Mississauga, ON
- Contract
Role Description The BDE - Sales (Enterprise AI Products) role is a contract, on-site position based in Mississauga, ON. This role is responsible for prospecting and qualifying enterprise…
Added 55 mins ago
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Senior Software Engineer - Data and AI Platforms
lululemon
Vancouver, BC
- Full-time
As a Senior Software Engineer, you will design and build data systems, AI-enabled platform capabilities, and enterprise solutions that support multiple product teams, contributing to…
Added 1 hour ago
SP
Enterprise Account Executive - Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
Our Enterprise Business team partners with our most strategic customers - organizations with 10,000+ employees - to deliver the full power of Salesforce. As an Enterprise Account Executive,…
Added 3 hours ago
SR
Chief Growth Officer
Swift Recruit
Vaughan, ON
- $250,000 to $275,000 CAD / year
- Full-time
…position requires an executive who remains actively engaged in enterprise selling. During the company's next stage of growth, the successful candidate will personally lead strategic…
Added 6 hours ago
C
Core Banking Architect | RFS360 Core Banking and Wealthview Banking
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced Core Banking Architect to lead the technical architecture and evolution of RFS360 Core Banking and Wealthview Banking platforms. The role focuses on designing…
Added 8 hours ago
RR
Android & Robotics Software Developer
Remote Robotic
Ottawa, ON · Kanata, ON
- $40 to $55 CAD / hour
- Contract
Remote Robotic Systems (RRS) is a Canadian robotics and defence-tech company helping organizations deploy enterprise-grade drones, uncrewed aircraft, robotic platforms, sensors, payloads,…
Added 9 hours ago
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Lead Automation Engineer
RBC
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 10 hours ago
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Cloud Solution Architect / Cloud + AI Platform Full-time LOA backfill
Microsoft
Toronto, ON
- Full-time
Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF.
Added 10 hours ago
M
Azure Digital Solution Area Specialist- Oil & Gas
Microsoft
Calgary, AB · Vancouver, BC · Goodwood, ON
- Full-time
Join our dynamic Azure team as we lead the charge in AI transformation! As trusted advisors, we help customers modernize their infrastructure, optimize operations, and drive innovation with…
Added 10 hours ago
CL
Business Development Associate - Toronto, Ontario
Caravel Law LLP
Toronto, ON
- Full-time
We’re a strategic partner of Platform Calgary, the front door to Alberta’s innovation ecosystem, a four-time Globe and Mail Top Growing Company, and recognized as one of Canada’s Best Law…
Added 10 hours ago
RB
Senior Director, Technology Infrastructure Operations & Resiliency
Royal Bank of Canada
Toronto, ON
- Full-time
Experience designing, building, and scaling an enterprise-grade business engineering platform
Added 10 hours ago
RB
Lead Automation Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 11 hours ago
EL
Head of AI Product – Trust Intelligence
EnStream LP
Toronto, ON
- Full-time
Reporting to our Chief Product & Technology Officer, you'll own the AI/ML product line within the EnStream Trust Platform. You'll turn mobile network, device, SIM, account and identity…
Added 11 hours ago
CL
Business Development Associate - Toronto, Ontario
Caravel Law LLP
Toronto, ON
- Full-time
We’re a strategic partner of Platform Calgary, the front door to Alberta’s innovation ecosystem, a four-time Globe and Mail Top Growing Company, and recognized as one of Canada’s Best Law…
Added 11 hours ago
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Software Engineering LMTS
Salesforce
Vancouver, BC · Canada - Vancouver
- Full-time
Develop robust backend services, APIs, and event-driven workflows that perform reliably at enterprise scale in a multi-tenant environment.
Added 11 hours ago
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Senior Lead Data & AI Engineer
Vanguard
Toronto, ON
- Full-time
Join us in a high-impact, high-visibility role where you will lead the design and delivery of enterprise-scale Data & AI solutions that power analytics, operational decision-making, and AI…
Added 11 hours ago
Accounts Receivable Specialist II
Conexiom
Canada
…manufacturers and distributors back. Our Intelligent Order Automation platform - powered by CoreAI, trained on over one billion line items a year - transforms how enterprise sales teams…
Added 11 hours ago
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Manager, Security GRC
nesto
Canada
- Full-time
Nesto Cloud is Canada's cloud-native and AI driven, end-to-end mortgage technology platform, helping financial institutions modernize lending through AI intelligent automation, AI & Cloud…
Added 11 hours ago
C
Senior IT Systems Eng
Cognichip
Toronto, ON
- $150,000 to $185,000 CAD / year
- Full-time
Enterprise SaaS Upgrades: Lead the move of our applications to enterprise-grade tiers as we buy or upgrade them: SSO/SCIM, admin roles, audit logs, data controls, and clean cutover plans.
Added 11 hours ago
T
Senior Project Manager
TEKsystems
Ottawa, ON
- $95 to $120 CAD / hour
- Contract
The Municipal Government Client of TEKsystems is seeking a Senior Project Manager to lead the implementation and expansion of customer-facing transit technology solutions involving…
Added 11 hours ago
M
Lead Full Stack Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 11 hours ago
PE
Software Developer
PRI Engineering
Mississauga, ON
- Full-time
…engineering and environmental practices. They run on our own Azure platform and integrate with our core enterprise…
Added 11 hours ago
M
Lead Full Stack Engineer
Manulife
Waterloo, ON
- Full-time
As a Lead Full Stack Engineer, you will shape the technical direction for your area, lead complex engineering programs across multiple teams, and establish standards for how solutions are…
Added 11 hours ago
PE
Software Developer
PRI Engineering
Calgary, AB
- Full-time
…engineering and environmental practices. They run on our own Azure platform and integrate with our core enterprise…

Vanguard

Senior Lead Data & AI Engineer

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Position Overview

Join us in a high-impact, high-visibility role where you will lead the design and delivery of enterprise-scale Data & AI solutions that power analytics, operational decision-making, and AI innovation across the organization.

We are seeking an experienced Senior Lead Data & AI Engineer with 9-12+ years of experience in Data Engineering and modern cloud-based data platforms, with deep expertise in Databricks, Lakehouse architecture, and AWS. This role will be responsible for building scalable data foundations, reusable engineering frameworks, and AI-ready data products that accelerate business value and enable advanced analytics and Generative AI use cases.

The ideal candidate combines strong hands-on data engineering expertise with solution architecture, technical leadership, and a passion for modernizing data ecosystems through automation, metadata-driven engineering, and cloud-native technologies.

Key Responsibilities

Data Engineering Leadership

Lead the architecture, design, and delivery of enterprise-scale data engineering solutions leveraging Databricks and AWS.
Design and implement scalable, resilient, and reusable data pipelines supporting batch, streaming, and event-driven workloads.
Drive engineering best practices across data ingestion, transformation, orchestration, testing, monitoring, and deployment.
Establish reusable frameworks, patterns, and standards to accelerate delivery and improve engineering quality across teams.

Databricks & Lakehouse Engineering

Architect and implement modern Lakehouse solutions utilizing Databricks, Delta Lake, Unity Catalog, and cloud-native services.
Develop metadata-driven and configuration-based frameworks that standardize ingestion, transformation, quality validation, and deployment processes.
Design and implement Delta Live Tables (DLT), Lakeflow Pipelines, and Databricks Workflows to automate enterprise data processing.
Build trusted, governed, and reusable data products that support analytics, reporting, data science, and AI initiatives.
Optimize platform performance, scalability, reliability, and cost efficiency across large-scale workloads.

Data Platform Modernization

Lead migration and modernization initiatives from legacy platforms to cloud-native data architectures.
Implement data observability, monitoring, lineage, metadata management, and quality controls throughout the data lifecycle.
Partner with architecture and platform teams to advance enterprise data platform capabilities and engineering standards.
Support implementation of CI/CD, Infrastructure-as-Code, automated testing, and DevSecOps practices.

AI & Advanced Analytics Enablement

Build AI-ready data foundations that support machine learning, Generative AI, and intelligent business applications.
Partner with Data Scientists, AI Engineers, and business teams to operationalize data products and AI solutions.
Support implementation of vector search, semantic models, retrieval-augmented generation (RAG), and knowledge-driven AI capabilities.
Contribute to AI orchestration and agent-based solutions where business value can be accelerated through intelligent automation.
Enable reliable integration between AI applications and enterprise data platforms.

Governance, Security & Data Quality

Implement enterprise-grade governance using Unity Catalog, metadata repositories, and data quality frameworks.
Ensure compliance with enterprise security, privacy, and regulatory requirements.
Design automated controls for data validation, observability, lineage, and operational monitoring.
Partner with governance organizations to improve trust and accessibility of critical data assets.

Stakeholder & Team Leadership

Act as a trusted technical advisor to business, analytics, and technology stakeholders.
Mentor and provide technical leadership to Data Engineers and platform teams.
Lead architecture reviews, design workshops, and engineering governance activities.
Translate complex technical concepts into actionable business outcomes for leadership audiences.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.
9-12+ years of experience in Data Engineering, Data Platform Engineering, or Analytics Engineering.
5+ years of hands-on experience building enterprise solutions on Databricks.
Strong expertise in Lakehouse architecture, Delta Lake, Unity Catalog, and modern data engineering patterns.
Proven experience building large-scale data pipelines using Spark, PySpark, SQL, and Python.
Deep experience with AWS services supporting Data & AI platforms.
Experience implementing Delta Live Tables, Lakeflow, Databricks Workflows, and metadata-driven engineering approaches.
Strong understanding of data modeling, data products, data governance, metadata management, and data quality frameworks.
Experience with CI/CD, Infrastructure-as-Code, automated testing, and cloud-native engineering practices.
Demonstrated leadership experience mentoring engineers and leading complex technical initiatives.
Strong communication and stakeholder management skills.

Pay Transparency

Expected Salary Range: 93,000 to 165,000

Role status: existing vacancy

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

The Senior Lead Data & AI Engineer will lead the architecture and delivery of enterprise-scale data solutions using Databricks and AWS. This role involves building scalable data foundations, reusable engineering frameworks, and AI-ready data products to support advanced analytics and Generative AI initiatives.

Requirements

Candidates must have 9-12+ years of experience in Data Engineering with deep expertise in Databricks, Lakehouse architecture, and AWS cloud services. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required, along with strong leadership and stakeholder management skills.

Skills

Data Engineering
Databricks
AWS
Lakehouse Architecture
Delta Lake
Unity Catalog
Spark
PySpark
SQL
Python
Delta Live Tables
Data Governance
CI/CD
Infrastructure-as-Code
Data Modeling
Technical Leadership

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
AI
Databricks
AWS
Lakehouse
Delta Lake
Unity Catalog
Spark
PySpark
SQL
Python
Delta Live Tables
Lakeflow
Generative AI
RAG
Vector Search
CI/CD
Infrastructure-as-Code
DevSecOps
Data Governance
Data Quality
Metadata Management
Cloud-native
Data Observability
Data Modeling
Automation
Analytics Engineering
Enterprise Architecture
Technical Leadership
Hybrid Work

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