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Added 3 months ago
HP
Software Developer - Data and AI (12 month contract)
Hammond Power Solutions
Guelph, ON
- Full-time
…transformer technology. We currently have an opening for a Software Developer, Data and AI– 12 month contract, come grow with…
Added 2 months ago
IT Business Operations Manager
Jeld-Wen Inc.
Woodbridge, ON
Advanced programming across major languages (C#, Java, Python, Progress 4GL, VB, SQL) to develop, enhance and maintain plant automation, integrations and custom applications
Added 5 months ago
S
Forward Deployment Engineer
SymphonyAI
UNAVAILABLE, Ontario
- Full-time
 Create and maintain shell scripts and SQL queries to support integration, troubleshooting, and reporting.
Added 5 months ago
IE
Software Development Engineer in Test
Intercontinental Exchange Holdings, Inc.
Calgary, AB
- Full-time
Experience working in UNIX/Linux and SQL/Oracle environments
Added 5 months ago
FH
Data Scientist
Fraser Health
Surrey, BC
- Full-time
Added 2 months ago
FH
Senior Business Analyst
Fraser Health
Surrey, BC
- Temporary
…like MEDITECH, utilizing software such as Excel and Microsoft SQL…
Added 2 months ago
PA
Analyst, Sales Performance
Porter Airlines Inc.
Toronto, ON
- Full-time
Added 2 months ago
IG
Epicor Kinetic Developer
Innovative Group of Companies
Barrie, ON
- Full-time
The Epicor Kinetic Developer designs, develops, integrates, and supports secure, maintainable software solutions that improve internal business processes. Working collaboratively with the…
Added 2 months ago
A
Information Technology –Technical Program Manager, Cyber Security
Aritzia
Vancouver, BC
- Full-time
Ability to design complex automation and enforce data hygiene, while utilizing SQL/APIs to independently validate mitigation status and generate risk metrics
Added 2 months ago
MG
QA Tester
Maplesoft Group, an SEB Company
Ottawa, ON
- Contract
…programs, including Databricks, Microsoft Fabric, Power BI, SQL, and Azure Data Services. This is a hybrid role requiring 2 days per week in office in Toronto, Mississauga, or…
Added 2 months ago
JG
Cognos Developer
J&M Group
Toronto, ON
- Full-time
Integrate Cognos with enterprise data platforms (SQL Server, Oracle, Azure data services)
Added 2 months ago
NB
Senior Data Scientist Model Validation
National Bank of Canada
Montreal, QC
- Full-time
Excellent knowledge of analytical and programming tools such as SAS Viya, SAS Enterprise Guide, SQL Python, MATLAB, R or equivalent.
Added 2 months ago
K
Associate, Corporate Development
Kraken
Canada
- Full-time
Added 2 months ago
PA
Analyst, Sales Performance
Porter Airlines Inc.
Toronto, ON
- Full-time
Added 2 months ago
A
Ingénieur de données Databricks / Data Engineer Databricks
Avanquest
Montreal, QC
- Full-time
Added 2 months ago
Revenue Growth Management (RGM) Data & Analytics Manager
Lactalis
Toronto, ON
Strong proficiency with Power BI, SQL and Excel
Added 5 months ago
K
Senior Manager, Financial Crimes- Data Analytics
KPMG
Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
…test and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 2 months ago
K
Senior Manager, Disputes & Investigations
KPMG
ON · Toronto, Ontario
- Full-time
Excellent computer skills (MS Excel, PowerPoint, Word and Access). Additionally, experience with data analytics, SQL database or eDiscovery software such as Relativity is an asset.
Added 2 months ago
K
Manager, Disputes & Investigations
KPMG
ON · Toronto, Ontario
- Full-time
Excellent computer skills (MS Excel, PowerPoint, Word and Access). Additionally, experience with data analytics, SQL database or eDiscovery software such as Relativity is an asset.
Added 2 months ago
Senior Analytics Engineer (m/f/d)
AutoTrader.ca
Toronto, ON
Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics
Added 2 months ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
…generation, and design and implement robust data pipelines (optimize SQL performance, and implement Self-Healing pipeline logic) supporting petabyte-scale data ingestion, transformation,…
Added 2 months ago
D
Manager, Data Architect
dentsu
Toronto, ON
- Full-time
Lead complex Azure Data Factory, Azure SQL, Power BI, Logic App and Python development.
Added 2 months ago
LA
Systems Analyst
Longbow Advantage
Remote, Canada
- Full-time
- Remote
You'll work directly with client data: writing and optimizing SQL, configuring solutions, and troubleshooting across relational and non-relational systems, to turn raw data into decisions…
Added 2 months ago
S
Technical Product Manager
ShyftLabs
Toronto, ON
- Full-time
SQL skills sufficient to answer your own questions without waiting on someone else.
Added 2 months ago
PF
Ingénieur·e senior en implantation | Senior Implementation Engineer
Power Factors
Remote, Canada
- Remote
Expérience avec les environnements Linux, Windows et les bases de données SQL.

McKesson

Director Data Engineering

Mississauga, ON, Canada

$126,900 - $169,200 · Full-time

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Job details

Pay: $126,900 - $169,200
Job type: Full-time
Experience: 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
Posting language: English
Posted: Aug 25, 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.

We are seeking an exceptional Director of Data Engineering to join McKesson Technology US Pharmaceutical Distribution (USPD) Decision Intelligence organization and lead the execution of design, development, and optimization of USPD data products. This role involves setting the technical vision, managing high-performing teams, and aligning data strategy with business objectives while managing large-scale data products built on modern data stack. This role involves collaborating with stakeholders to align data capabilities with business objectives and overseeing data governance, security, and best practices. The successful candidate will combine deep technical expertise with proven leadership capabilities to deliver high-impact data solutions that power critical business decisions across our USPD portfolio.

Key Accountabilities:

Strategic Leadership
Partner with executives, business leaders, and technology stakeholders to define data architecture vision and roadmap
Drive innovation in data engineering practices, emerging technologies, and platform capabilities to maintain competitive advantage
Establish data engineering standards, best practices, and governance frameworks across the organization
Technical Excellence
Design, build, and maintain scalable and AI-ready data products leveraging Microsoft Azure ecosystem, ensuring efficient data ingestion, transformation, and storage.
Lead advanced implementation of Databricks for large-scale data processing, machine learning workflows, and real-time analytics
Organizational Leadership
Build, mentor, and lead a high-performing team of Data Engineering Directors, and technical specialists
Collaborate cross-functionally with Operations, Data Science, Analytics, IT, and Business Intelligence teams to deliver integrated solutions
Establish talent development programs, technical career progression paths, and engineering excellence initiatives
Foster culture of innovation, continuous learning, and technical excellence within the data engineering organization
Operational Excellence
Lead delivery of USPD data engineering products development in alignment with USPD DI Operations uptime, optimal performance, and cost efficiency
Implement comprehensive monitoring, alerting, and incident response capabilities for mission-critical data systems
Partner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and DevOps practices to enhance deployment speed and operational reliability
Manage technology budgets, vendor relationships, and strategic partnerships to optimize total cost of ownership
Leverage AI in Data Engineering lifecycle, accelerate code generation, and design and implement robust data pipelines (optimize SQL performance, and implement Self-Healing pipeline logic) supporting petabyte-scale data ingestion, transformation, and distribution
Ensure data platform security, compliance, and performance optimization across all environments

Minimum Requirements

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.

Critical Skills

Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
Advanced proficiency with Databricks platform and advanced analytics workflows
Extensive experience with BI development, administration, and enterprise deployment
Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure

Additional Experience

Strong technical aptitude and experience with a wide variety of technologies
Ability to rapidly learn and if required evaluate a new tool or technology
Strong verbal & written communication skills
Demonstrated technical leadership experience
Be an innovative thinker
Must have a strong customer and quality focus
Have been successful in working across organizational boundaries, bringing together people with diverse perspectives and experience to find solutions to complex technical issues
Proven experience in architecting AI-First Data Platforms, leveraging Generative AI to automate data curation workflows and implementing RAG-ready architectures that serve both structured BI and unstructured LLM applications.
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
Experience in regulated industries (healthcare, financial services, manufacturing)

Education

Master’s. Degree in Computer Science, Engineering or equivalent.

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

$126,900 - $169,200

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!

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More about this job

Responsibilities

The Director of Data Engineering will lead the design, development, and optimization of data products while setting the technical vision for the USPD Decision Intelligence organization. This role involves managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of scalable, AI-ready data solutions.

Requirements

Candidates must have at least 12 years of professional IT experience, including 4 years in leadership roles, and a Master's degree in Computer Science or Engineering. Proficiency in the Microsoft Azure ecosystem, Databricks, and modern data architecture patterns is essential for this position.

Skills

Data Engineering
Microsoft Azure
Databricks
Python
Scala
SQL
.NET
Data Architecture
Data Governance
Machine Learning
Generative AI
RAG-ready architectures
Leadership
Strategic planning
Cloud computing
Data pipelines

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Microsoft Azure
Databricks
Azure Data Factory
Synapse Analytics
Data Lake Storage
Event Hubs
Cosmos DB
Python
Scala
SQL
.NET
Generative AI
RAG
Medallion architecture
Unity Catalog
Data Governance
DevOps
AI-driven data observability
Leadership
Healthcare
Pharmaceutical Distribution
Cloud computing
Data strategy
Machine learning
Real-time analytics
Data ingestion
Strategic planning
Budget management
Vendor management

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