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Added 12 days ago
GD
Principal Data & AI Engineer
General Dynamics Missions System International
Ottawa, ON
- $140,000 to $170,000 CAD / year
- Full-time
Strong development experience with SQL, Python, APIs, and data orchestration technologies.
Added 12 days ago
L
Business Analyst, Senior- Contract (Toronto, ON – Hybrid)
LifeLabs
Toronto, ON
- $81,431 to $103,825 CAD / year
Added 12 days ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…
Added 12 days ago
JG
Solution Architect / Java Architect
J&M Group
Toronto, ON
- Full-time
Added 12 days ago
E
Business System Analyst
Entellux
ON · Ontario, Canada
- Contract
Mandatory skills- Hadoop, Sql, ETL tools, Azure
Added 12 days ago
TT
Data and AI Lead, Development and Governance
Tundra Technical Solutions
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
Position Data and AI Lead, Development and Governance (Senior AI & Automation Developer)
Added 12 days ago
QW
Senior AI Developer
Quantum World Technologies Inc.
Mississauga, ON
- Full-time
Experience with SQL, databases, data processing, and integration with enterprise data sources.
Added 12 days ago
P
Machine Learning Engineer
Pinnacle
Toronto, ON
- Full-time
Experience working with relational databases such as SQL server, PostgreSQL or Google BigQuery.
Added 12 days ago
SM
RQ11745 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Job Title: RQ11745 – Software Developer – Senior
Added 12 days ago
Senior Manager, Credit Modeling and Strategy
Questrade Financial Group
Toronto, ON
Have solid proficiency in data analysis tools (SAS, Python, R, SQL, DataBricks)
Added 12 days ago
C
Sr. Manager, Application Development
CIBC
Toronto, ON
- Full-time
…have at least 8 years experience with Python, LLM, AI/ML, NLP, SQL DB, and Microservices. You come equipped with 3 years of experience with Generative AI/LLM. It’s an asset if you have…
Added 12 days ago
B
Senior Manager, Counterparty Credit Risk Analytics
BMO
Toronto, ON · YNG
- Full-time
Programming skills (Python/SQL preferred) for analytics and automation
Added 12 days ago
EC
Manager, Analytics & Information Systems
ErinoakKids Center for Treatment and Development
Mississauga, ON
- Full-time
Proficiency in Power BI; familiarity with SQL, data warehousing, or related tools is an asset.
Added 12 days ago
GO
Senior System Analyst
Government of New Brunswick
NB · NB, Canada
- Full-time
Added 12 days ago
Anaplan Solutions Analyst
CONA Services
Toronto, ON
Develop foundational knowledge of Snowflake, Informatica, SQL and related data platforms.
Added 12 days ago
Anaplan Solutions Analyst
CONA Services
Toronto, ON
Develop foundational knowledge of Snowflake, Informatica, SQL and related data platforms.
Added 12 days ago
AT
Java Engineer with Apache Flink
Arkhya Tech Inc.
Toronto, ON
- Contract
Pipeline Engineering: Design, develop, and maintain production-grade, stateful stream processing applications using the Java DataStream and Table/SQL APIs in Apache Flink.
Added 12 days ago
P
Software Engineer, Test
Providius
Hamilton, ON
- $60,000 to $80,000 CAD / year
- Full-time
Basic understanding of SQL and relational databases
Added 12 days ago
CC
Microsoft Developer/RQ11660 - Software Developer - CRM
Computer Consultants International, Inc.
Toronto, ON
- Contract
We are hiring for a Software Developer – MS Dynamics 365 CRM
Added 12 days ago
AS
Data Platform Engineer
AgileGrid Solutions
Canada
- Full-time
Advanced proficiency in SQL and Python for large-scale data processing and performance optimization.
Added 12 days ago
AT
Senior Data Engineer
Arkhya Tech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
o Leverage PySpark/Spark and SQL to transform and process large datasets.
Added 12 days ago
US
Python & SQL Developer - Montreal, QC - 3 Days Onsite per Week Mandatory
United Software Group Inc
Montreal, QC
- Contract
We are seeking a Python & SQL Developer with 5-8 years of experience in designing, developing, and supporting data-driven applications and solutions. The ideal candidate will have strong…
Added 12 days ago
A
Senior Data Analyst - Fintech (m/f/d)
AutoTrader.ca
Toronto, ON
- Full-time
Strong proficiency in SQL and BI tools such as power bi, tableau or quicksight
Added 12 days ago
V
Application Production Support Analyst
Vertage
Montreal, QC
- Contract
Strong experience with Oracle and/or Microsoft SQL Server.
Added 12 days ago
JG
Counterparty Credit Risk Manager
JCW Group
Toronto, ON
- Full-time
Advanced knowledge of Power BI, Python, SQL, and Unix is an asset

AgileGrid Solutions

Data Platform Engineer

Canada

The salary range for this position is between $122,100 and $162,800. · Full-time

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Job details

Pay: The salary range for this position is between $122,100 and $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: Oct 15, 2026

Original job description

About The Company

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 to define and drive the future of our enterprise data ecosystem. This highly visible technical leadership position involves establishing engineering standards, architecting scalable cloud data platforms, and enabling advanced analytics, artificial intelligence, machine learning, and business intelligence solutions across the organization. As a trusted technical leader, you will oversee 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 promoting engineering best practices.

Qualifications

To succeed in this role, candidates should possess:

10+ years of professional experience in Data Engineering, Data Platform Engineering, Cloud Engineering, or related disciplines.
A Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience.
Proven experience designing and implementing enterprise-scale data architectures, ETL/ELT pipelines, and modern data platforms.
Advanced proficiency in 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.
Demonstrated ability to lead complex technical initiatives and influence architectural decisions across multiple teams.
Strong communication skills with the ability to translate technical concepts for diverse audiences.

Responsibilities

Define technical strategy and establish 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 to enhance data capabilities.
Establish best practices for DataOps, DevOps, CI/CD, Infrastructure as Code, and platform automation to streamline operations.
Strengthen governance, security, compliance, access management, and data protection controls within regulated environments.
Collaborate 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, fostering a culture of innovation, technical excellence, and continuous improvement.

Benefits

At McKesson, we are proud to offer a competitive compensation package as part of our Total Rewards program. Compensation is determined based on factors such as performance, experience, skills, equity, and market evaluations. The salary range for this position is between $122,100 and $162,800. In addition to base pay, employees may be eligible for annual bonuses, long-term incentives, and other benefits. We also provide comprehensive health insurance, retirement plans, paid time off, professional development opportunities, and a supportive work environment designed to promote work-life balance. For more details on our benefits, please visit our benefits page.

Equal Opportunity

McKesson is an Equal Opportunity Employer that provides equal employment opportunities to all applicants and employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to fostering an inclusive environment and encourage candidates of diverse backgrounds to apply. If you require a reasonable accommodation during the application process, please contact us via email. Resumes or CVs sent to this email will not be accepted. For additional information on our Equal Employment Opportunity policies, please visit our EEO page.

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More about this job

Responsibilities

Define enterprise data platform strategy and architecture standards, and lead the design, modernization, and optimization of scalable cloud platforms for analytics, AI, machine learning, and reporting. Establish operational, security, and governance practices while guiding incident response, collaborating across teams, and mentoring engineers.

Requirements

Requires 10 or more years of relevant experience and a bachelor's degree in a related field or equivalent education and experience. Candidates should have enterprise data architecture and pipeline experience, advanced SQL and Python skills, hands-on experience with Azure Databricks, Snowflake, Azure Data Lake Storage, and Azure Data Factory, and a record of technical leadership and cloud security and governance work.

Skills

Data Engineering
Data Platform Engineering
Cloud Engineering
Enterprise Data Architecture
SQL
Python
Azure Databricks
Snowflake
Azure Data Lake Storage
Azure Data Factory
Cloud Security
Data Governance
Identity and Access Management
ETL/ELT
DataOps
DevOps

Benefits

Health Insurance
Retirement Plans
Paid Time Off
Professional Development
Work-Life Balance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Platform Engineering
Cloud Engineering
Enterprise Data Architecture
ETL/ELT Pipelines
SQL
Python
Azure Databricks
Snowflake
Azure Data Lake Storage
Azure Data Factory
Cloud Data Platforms
Cloud Security
Data Governance
Identity and Access Management
Compliance
DataOps
DevOps
CI/CD
Infrastructure as Code
Platform Automation
Artificial Intelligence
Machine Learning
Business Intelligence
Analytics
Data Protection
Monitoring
Observability
Incident Response
Platform Reliability

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