toronto, on databricks solution architect Jobs – 107 Openings This Week

Lead, Data Engineer
McKesson —Mississauga, ON
- $122,100–$162,800 a year
- Azure
- SQL
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Director Data Engineering
McKesson —Mississauga, ON
- $126,900–$169,200 a year
- Azure
- Computer Science
- DevOps
Data Engineer
Havi Supply Chain —Toronto, ON
- $95,000–$110,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
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- Designated paid holidays
Architecte solutions principal(e) – Plateforme de données et d’IA d’entreprise
Intact —Toronto, ON
- $128,300–$156,800 a year
- Full-time
- Hybrid work
- Bilingual
- English
- AWS
- Wellness program
3d
Data Engineer
GEI Consultants —Vaughan, ON
- $90,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Profit sharing
- Commuter benefits
Quick apply
Senior Technical Account Manager
Plume —Toronto, ON
- Remote
- Computer Science
- PMP
- Engineering
Quick apply
Director - Subledger Integration Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Master's degree
- Databases
9d
Enterprise Data Architect (Energy) - EDAAS
NavitasPartners —Toronto, ON
- From $30 an hour
- Azure
- AWS
- APIs
Quick apply
2d
Senior Cloud Engineer (Technical Lead)
Scotiabank —Toronto, ON
- Hybrid work
- Azure
- DevOps
- Engineering
- Tuition reimbursement
Lakebase Sales Specialist
Databricks —Toronto, ON
- Azure
- Sales
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4d
Senior Technology Lead - Data Platforms
Scotiabank —Toronto, ON
- Azure
- DevOps
- SQL
- Tuition reimbursement
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
Quick apply
Associate Director, Principal Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- AWS
22h
Sr. Machine Learning Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
Principal Applied AI Scientist (Team Lead), Digital and Global Investments
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Enterprise Sales Executive (IT Professional Services/Clouds), Greater Toronto Area, ON
Dedicatted —Toronto, ON
- From $180,000 a year
- Full-time
- Hybrid work
- Sales
- Salesforce
- DevOps
- Designated paid holidays
- Paid time off
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Sr. AI Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply

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databricks solution architect jobs near toronto, on

Lead, Data Engineer

McKesson -
Mississauga, ON

Apply Now

Job details

$122,100–$162,800 a year

Qualifications

Power BI
Data modeling
Azure
PaaS
Tableau
SQL
Scripting
Apache
Kafka
Metadata
SaaS
AI
Communication skills
Data warehouse
Python
IaaS
Analytics

Full job description

Lead, Data Engineer

Mississauga, Canada Job ID JR0145240 Category Data Engineering, Information Technology Post Date Apr. 20, 2026

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.

Summary

The Lead Data Engineer is a senior individual contributor within McKesson’s Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of scalable data engineering and analytics solutions across the PSaS Business Unit. This role serves as a technical leader and player‑coach, combining deep hands‑on engineering with solution leadership, mentorship, and cross‑functional influence.

What You’ll Do

Lead end‑to‑end technical delivery for complex data engineering initiatives or domains.
Serve as a senior technical point of contact for data engineering within cross‑functional squads.
Design and build scalable, reliable batch and real‑time data pipelines across internal and external systems.
Lead solution design and influence architectural decisions in collaboration with Data Architects and enterprise teams.
Define and uphold engineering standards, patterns, and best practices aligned with enterprise data strategy.
Mentor and guide data engineers through design reviews, code reviews, and technical coaching.
Ensure quality, reliability, performance, and long‑term maintainability of data products.
Partner with Product Managers, Data Scientists, Analysts, and business stakeholders to translate analytical requirements into scalable solutions.
Drive an automation‑first and reusability‑focused mindset across data engineering solutions.
Oversee testing strategies, production readiness, observability, and operational stability of data pipelines.
Proactively identify technical debt and lead remediation efforts.
Enable advanced analytics and ML use cases through optimized data models and pipelines.
Communicate technical designs, tradeoffs, risks, and outcomes clearly to stakeholders.

What You Bring

Recognized expertise in data engineering and analytics within large, enterprise environments.
Strong ability to independently lead complex technical initiatives with minimal oversight.
Proven experience influencing technical direction and mentoring other engineers without formal people‑management responsibility.
Deep understanding of data architecture, ETL/ELT patterns, and large‑scale data processing.
Strong stakeholder communication and collaboration skills.

Technical Skills

Advanced proficiency in SQL, Python, and scripting.
Strong hands‑on experience with:
- Databricks, Snowflake, Azure Data Factory
- Confluent Kafka / Azure Event Hub
- PySpark and analytical SQL
- Power BI and/or Tableau
- Apache Airflow, dbt, Alation
Strong understanding of data modeling, metadata, lineage, and data quality practices.
Experience with cloud platforms (SaaS, PaaS, IaaS).
Experience implementing automation and Infrastructure as Code (IaC).
Ability to support advanced analytics and ML enablement (non‑pure DS focus).

Minimum Requirements

Degree or equivalent and typically requires 10+ years of relevant experience.

Preferable Skills & Experience

Experience leading enterprise‑scale or BU‑wide data initiatives.
Exposure to real‑time, event‑driven data architectures.
Familiarity with data governance programs and stewardship responsibilities.
Experience experimenting with emerging data and AI technologies.
Background in highly regulated or complex business environments.

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, (opens in new window)

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 (opens in new window).

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 (opens in new window) 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) [email protected] (opens in new window) or (Canada) [email protected] (opens in new window). Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Apply Now

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databricks solution architect jobs in toronto, on

Lead, Data Engineer

Director Data Engineering

Data Engineer

Architecte solutions principal(e) – Plateforme de données et d’IA d’entreprise

Data Engineer

Senior Technical Account Manager

Director - Subledger Integration Lead

Enterprise Data Architect (Energy) - EDAAS

Senior Cloud Engineer (Technical Lead)

Lakebase Sales Specialist

Senior Technology Lead - Data Platforms

AI Architect (AWS & Agentic AI)

Associate Director, Principal Data Engineer

Sr. Machine Learning Engineer

Principal Applied AI Scientist (Team Lead), Digital and Global Investments

Senior Enterprise Sales Executive (IT Professional Services/Clouds), Greater Toronto Area, ON

Sr. AI Engineer

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