Jobs in Canada

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Added 1 month ago
C
Quality Engineering
CGI
Toronto, ON
- Full-time
This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 days per week subject to change at any time
Added 1 month ago
EA
Développeur.se de logiciels sénior.e - Plate-forme de capture multimodale / Senior Software Developer - Multimodal Capture Platform
Electronic Arts (EA)
Montreal, QC
- Full-time
This is a hybrid role, working three days per week in Montreal or Vancouver
Added 1 month ago
EA
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
Electronic Arts (EA)
Montreal, QC
- Full-time
This is a hybrid role, working three days per week in Redwood City, Montreal, or Vancouver
Added 1 month ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
As part of the national GIS team, you will design and maintain automation and data integration solutions for the ALTO project. Working with GIS, CAD/BIM, engineering, and information…
Added 1 month ago
N
Member of Technical Staff 3- DataHub
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Are you an enthusiastic early-career engineer passionate about building secure AI infrastructure from the ground up? Join Nutanix to help develop our DataHub platform - an enterprise data…
Added 1 month ago
Embedded Software Engineer
Analog Devices
Toronto, ON · Vancouver, BC · Canada, Toronto
Must Have Skills
Added 1 month ago
EA
Senior Mechanical Design Engineer
Engineered Arts
Montreal, QC
- Full-time
Collaborate closely with our Electronics and Software engineering teams to integrate mechanical systems with sensing, actuation, control, and embedded hardware architectures
Added 1 month ago
M
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
- Full-time
McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data ecosystem. In this highly visible technical leadership role, you will establish…
Added 1 month ago
GS
Senior Product Manager, PolicyCenter
Guidewire Software
Canada
- Full-time
Prior experience as an engineer, solutions architect, business analyst, or implementation consultant on core insurance systems.
Added 1 month ago
C
Software Technical Leader
Cisco
Fredericton, NB
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
C
Software Technical Leader
Cisco
Halifax, NS
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
C
Software Technical Leader
Cisco
Mississauga, ON
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
Software Engineer, Driver Experience
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
…billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise…
Added 1 month ago
P
Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 1 month ago
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Customer Engineering and Reliability
GoFleet
Mississauga, ON
- Full-time
We are looking for a engineer who enjoys figuring out why something isn't working, rather than simply closing a ticket.
Added 1 month ago
A
Senior Backend Engineer
Apollo.io
Canada
- Full-time
As a Senior Software Engineer, you will be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process.…
Added 1 month ago
M
Compute Solution Architect
Mistral
Canada
- Full-time
Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration.
Added 1 month ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
A Prophix Data Integration Engineer enables seamless, automated connections between client data sources and the Prophix platform. Working on the Professional Services team and with…
Added 1 month ago
CE
Quality Engineer - Corrective Action Requests / Demandes d'actions correctives
Capgemini Engineering
Montreal, QC
- Full-time
…From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join…
Added 1 month ago
KG
Intermediate Electrical Engineer
KGS Group
Winnipeg, MB
- Full-time
Must possess a valid driver’s license and the ability/willingness to undergo security clearance checks
Added 1 month ago
KG
Senior Electrical Engineer
KGS Group
Winnipeg, MB
- Full-time
Must possess a valid driver’s license and the ability/willingness to undergo security clearance checks
Added 1 month ago
VA
Aircraft Design Engineer –Aerospace
Volatus Aerospace
Vaughan, ON
- Full-time
As part of our continued growth and innovation initiatives, we are seeking an Aircraft Design Engineer join our team and support the development, integration, and testing of advanced RPAS…
Added 1 month ago
AI
Forward Deployed AI Engineer
AGF Investments
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
C
AI Engineer: 0→1 Builder
Carousel
Montreal, QC
- Full-time
Carousel développe l’infrastructure d’intégration et de vérification qui soutient les secteurs du financement, de l’automobile, de la location, de la vérification des locataires et de la…

McKesson

Lead Data Platform Engineer 1

Mississauga, ON, Canada

$122,100 - $162,800 · Full-time

Apply on mckesson.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $122,100 - $162,800
Job type: Full-time
Experience: 10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
Posting language: English
Posted: Sep 23, 2026

Original job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

About the Role:

McKesson is seeking a Lead Data Platform Engineer 1 to define and drive the future of our enterprise data ecosystem. In this highly visible technical leadership role, you will establish engineering standards, architect scalable cloud data platforms, and enable analytics, AI, machine learning, and business intelligence solutions across the organization.

You will serve as a trusted technical leader responsible for enterprise-scale data architecture, cloud platform strategy, governance, security, and operational excellence. Working closely with architects, product teams, security partners, and business stakeholders, you will influence strategic technology decisions while mentoring engineers and advancing engineering best practices.

What You'll Do:

Define technical strategy and architecture standards for enterprise data platforms and engineering solutions.
Lead the design, implementation, and optimization of scalable cloud-based data platforms supporting analytics, AI, machine learning, and reporting workloads.
Drive large-scale modernization, migration, and platform transformation initiatives.
Establish best practices for DataOps, DevOps, CI/CD, Infrastructure as Code, and platform automation.
Strengthen governance, security, compliance, access management, and data protection controls within regulated environments.
Partner with architecture, security, product, and engineering leadership to influence platform roadmaps and technology decisions.
Lead incident response, platform reliability, monitoring, observability, and operational excellence initiatives.
Mentor engineers and foster a culture of innovation, technical excellence, and continuous improvement.

Basic Requirements:

10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent combination of education and experience).
Experience designing and implementing enterprise-scale data architecture, ETL/ELT pipelines, and modern data platforms.
Advanced proficiency with SQL and Python for large-scale data processing and performance optimization.
Hands-on experience with Azure Databricks administration, Snowflake, Azure Data Lake Storage, and Azure Data Factory.
Experience implementing cloud security, governance, identity and access management, and compliance controls.
Proven ability to lead complex technical initiatives and influence architectural decisions across multiple teams.
Strong communication and stakeholder management skills with the ability to translate technical concepts for diverse audiences.

Preferred Skills/Experience:

· Understanding of Agile software development methodologies, including Scrum and Kanban.

· Experience designing and implementing cloud-based data, analytics, AI, and machine learning platforms with strong focus on availability, performance, resiliency, security, scalability, observability, and cost optimization.

· Experience developing reference architectures, reusable patterns, platform guardrails, and engineering standards across Azure, Databricks, Kubernetes, networking, storage, identity, secrets management, and data services.

· Experience evaluating platform requirements and making architectural trade-offs across reliability, security, compliance, interoperability, operational efficiency, vendor dependency, and total cost of ownership.

· Experience establishing secure integration patterns for AI applications, agents, enterprise data, vector search, private connectivity, content controls, approved model providers, and secrets management.

· Experience implementing observability and operational excellence using OpenTelemetry, Prometheus, Grafana, cloud monitoring, centralized logging, and service-level reporting.

· Experience building and maintaining Infrastructure-as-Code, configuration automation, and CI/CD or GitOps workflows for repeatable platform provisioning, deployment, testing, and lifecycle management.

· Experience applying security-by-design, zero-trust, least-privilege, and defense-in-depth principles across identity, access management, networking, encryption, data protection, platform administration, and AI services.

· Experience working with large-scale batch and real-time data platforms, distributed systems, streaming technologies, data warehouses, and databases, including Databricks, Snowflake, Kafka, Oracle, SQL Server, PostgreSQL, and MongoDB.

· Experience managing enterprise data platforms and governance capabilities, including data storage, processing, security, quality, lineage, and communicating technical, financial, and operational considerations to business and engineering leaders.

· Azure Administrator Certification preferred.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$122,100 - $162,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Apply on mckesson.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Define and drive the technical strategy and architecture for enterprise-scale cloud data platforms. Lead the design, implementation, and optimization of data solutions while mentoring engineering teams and ensuring operational excellence.

Requirements

Requires 10+ years of professional experience in data or cloud engineering and a bachelor's degree in a relevant field. Candidates must possess advanced proficiency in SQL, Python, and hands-on experience with Azure Databricks and Snowflake.

Skills

Data engineering
Cloud architecture
Azure Databricks
Snowflake
Python
SQL
Data governance
Cloud security
ETL/ELT pipelines
Platform automation
Leadership
Stakeholder management
Infrastructure as code
CI/CD
DataOps
DevOps

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud Engineering
Azure Databricks
Snowflake
Azure Data Lake Storage
Azure Data Factory
SQL
Python
DataOps
DevOps
CI/CD
Infrastructure as Code
Kubernetes
Kafka
Oracle
PostgreSQL
MongoDB
Data Architecture
Governance
Security
Compliance
Identity and Access Management
Observability
OpenTelemetry
Prometheus
Grafana
Agile
Scrum
Kanban
AI

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Jobs in Canada