Find work in Canada.

329,660 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 4 hours ago
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
Full-time
We’re looking for a Cloud Solution Architect (CSA) focused on Cloud & AI Data to help customers build unified, governed, secure, and AI-ready data estates on Microsoft Azure. In this…
Added 20 hours ago
Senior Database Administrator - Information Technology Services
MacEwan University
AB · Edmonton, AB
Full-time
Working with Azure Data Factory and Microsoft Fabric to ensure data flows are automated, optimized, and reliable. This includes creating, managing, and testing data pipelines, and using…
Added 1 day ago
Senior Data Engineer - Toronto
Trisura
Toronto, ON
Full-time
Hands-on experience with Microsoft Fabric and Azure data services, including Lakehouse, Warehouse, OneLake, Delta tables, pipelines, notebooks, Azure Data Factory, Azure SQL…
Added 1 day ago
Senior Data Engineer - Toronto
Trisura Guarantee Insurance Company
Toronto, ON
Hands-on experience with Microsoft Fabric and Azure data services, including Lakehouse, Warehouse, OneLake, Delta tables, pipelines, notebooks, Azure Data Factory, Azure SQL…
Added 2 days ago
IT Analyst II
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
Temporary
This is a 6 month temporary position until the end of March 2027. You will be working with the Corporate Analytics Team within HIE to support eLeader, a Microsoft Fabric analytic tool. Your…
Added 2 days ago
Lead Data Platform Engineer 1
McKesson
Mississauga, ON
Full-time
Hands-on experience with Azure Databricks administration, Snowflake, Azure Data Lake Storage, and Azure Data Factory.
Added 2 days ago
Data Engineer II - CPB Data Curation
TD
Toronto, ON
Full-time
Provide a broad range of data engineering functions, including data modeling, data quality, data profiling, data acquisition and ingestion, extract, transform and load (ETL), metadata…
Added 3 days ago
Data Architect
Brandt Group of Companies
Regina, SK
Full-time
ETL/ELT Pipeline Development: Architect and maintain robust, scalable data pipelines to extract, transform, and load data from disparate sources into Azure Data Factory and Azure Data Lake…
Added 3 days ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
Experience implementing data pipelines for both streaming and batch integrations using tools and frameworks such as Glue ETL, Lambda, Google Cloud Dataflow, Azure Data Factory, Spark, Spark…
Added 3 days ago
Senior Data Engineer
Fraser Health
Surrey, BC
Full-time
Experience with Microsoft Fabric, Azure DevOps, Azure Data Factory, and Azure Synapse is a plus
Added 3 days ago
AI Data and Integration Engineer
First National Financial LP
Toronto, ON · East York, ON
Full-time
Support AI Engineers and full stack engineers with reliable, documented interfaces and representative data, diagnose data and integration failures through development, evaluation, UAT,…
Added 4 days ago
Senior Manager, Data Engineering
Heart & Stroke
Remote, Canada
Full-time · Remote
This role oversees the full execution lifecycle, from discovery and design through development, testing, deployment, and operational support. The Senior manager will be responsible for…
Added 4 days ago
Senior Data Engineer
fgf brands
Toronto, ON · Greater Toronto Area, ON
Other
We are seeking a Senior Data Engineer with deep expertise in designing and delivering scalable, real-time streaming as well as batch data pipelines and solutions using modern data platforms…
Added 5 days ago
Senior Analyst, IT Applications (Quality)
PowerCo SE
St. Thomas, ON
Continuous Improvement & Digital Enhancement: Identify opportunities to enhance Quality data availability, analytics, dashboarding, and workflow automation. Support adoption of predictive…
Added 7 days ago
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
Saputo is seeking a highly skilled and motivated IT Analytics Architect to join our Data Engineering & Analytics team. Reporting to the Senior Director of Data Engineering & Analytics, this…
Added 8 days ago
Lead SQL Developer
Aylo Careers
Montreal, QC
Our Data Warehouse Team is looking for a Lead SQL Developer to contribute to the evolution of our enterprise data platform within the Data Warehouse Services team. This role combines…
Added 11 days ago
Junior Data Developer
Vancouver Coastal Health
Vancouver, BC
$35.37 to $50.85 CAD / hour
Full-time
Experience with cloud platforms such as Azure, AWS, or GCP and related data services (e.g Azure Data Factory, Azure Databricks, Azure Data Lake) would be an asset.
Added 11 days ago
Databricks Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$80 to $95 CAD / hour
Contract
…strategies, ensuring best pricing, minimizing market impact, and adhering to regulatory requirements to achieve efficient and secure execution of investment decisions. The business is…
Added 11 days ago
Analyst, Databases
Reliance Home Comfort
Toronto, ON
Experienced with Azure Data tools such as Azure Storage accounts, Azure Data Factory, Azure Databricks, Azure Automation Accounts, Azure Key vault, Azure Synapse Analytics, Azure SQL…
Added 11 days ago
Specialist - Architecture
Maarut
Toronto, ON
Full-time
Lead the development of data pipelines and ETL processes
Added 11 days ago
Specialist - Architecture
LTM
ON · Ontario, Canada
$120,000 to $140,000 USD / year
Full-time
Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
Added 11 days ago
Senior BI ETL Developer
KTek Resourcing
Canada
Contract
Working closely with application engineering, architecture, data/analytics and vendor teams. The Senior / Lead ETL Developer designs, develops, tests, deploys, and supports enterprise data…
Added 18 days ago
AI Architect
SPECTRAFORCE
Toronto, ON · North York, ON
Contract
Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI).
Added 17 days ago
Power BI Architect
Maarut
Toronto, ON
Full-time
Microsoft Fabric Proven experience working with Fabric components Data Factory Synapse Data Engineering and Data Warehouse A deep understanding of the OneCopy philosophy is essential
Added 18 days ago
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
Own the orchestration layer (e.g., Prefect, Azure Data Factory, or comparable tools) – schedule, monitor, retry, and alert on pipeline failures with clear SLIs and SLOs.

McKesson

Lead Data Platform Engineer 1

Mississauga, ON, Canada

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

Apply About employer

Applications open in a new tab.

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 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

Report this job