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Added 5 days ago
Specialist Data Integration Data Analytics, Reporting & Evaluation
Provincial Health Services Authority
Vancouver, BC
Full-time
Reporting to the Decision Support Consultant, Information Integration, the Data Integration Specialist provides integrated healthcare data analysis and interpretation to senior leadership,…
Added 2 months ago
Analytics Data Specialist
Home Hardware Stores Limited
Woolwich, Ontario · St. Jacobs, ON
Full-time
As the Analytics Data Specialist, you will champion and deliver enterprise data products that turn raw data into trusted insights, enabling scalable analytics through an Analytics Centre of…
Added 17 days ago
Data Analytics Specialist
SPECTRAFORCE
Toronto, ON · North York, ON
Contract
As an AI & Data Analytics IT Specialist, you will play a pivotal role in shaping and delivering advanced analytics and AI-driven solutions that directly impact strategic and operational…
Added 2 months ago
Data Solutions Specialist
SMART Technologies
Calgary, Alberta
As a Data Solutions Specialist at SMART Technologies, you are the connective tissue between the business, our data engineers, and the reporting that reaches decision-makers. Working within…
Added 10 days ago
Group Disability Data Analytics Specialist
The Canada Life Assurance Company
Winnipeg, MB
As a Data Analytics Specialist, you will apply strong analytical, technical, and critical thinking skills to explore data, identify trends, and deliver insights that enhance decision-making…
Added 10 days ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Reporting to IDD Data & Analytics Lead, the IDD Analytics Specialist will be responsible for collecting, analyzing, transforming, and presenting data from various business systems to…
Added 4 months ago
Specialiste des solutions de donnees et des processus, Gestion des Fournisseurs de Reparations / Data and Process Solutions Specialist, Vendor Management
Pratt & Whitney
Longueuil, Quebec
Full-time
Titre du poste : Spécialiste des solutions de données et des processus, Gestion des fournisseurs de réparations
Added 4 months ago
Specialiste des solutions de donnees et des processus, Gestion des Fournisseurs de Reparations / Data and Process Solutions Specialist, Vendor Management
RTX
Longueuil, Quebec
Full-time
Titre du poste : Spécialiste des solutions de données et des processus, Gestion des fournisseurs de réparations
Added 18 days ago
Data, Measurement and Analytics Specialist, Large Customer Sales
Google
Toronto, ON
As a Data, Measurement and Analytics (DM&A) Specialist, you will act as an advisor to Google’s largest and most sophisticated advertisers. You will lead the measurement and experimentation…
Added 23 days ago
Senior Data Specialist, Enterprise Fraud Analytics
Definity Insurance Company
Toronto, ON
Full-time
Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist, is a core member of the Enterprise Fraud Analytics team. This role focuses on designing, training, and evaluating…
Added 4 months ago
Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
Full-time
You are a senior‑level data modeling specialist with deep expertise in OT data platforms, industrial data structures, and analytics solutions. You understand complex operational…
Added 2 months ago
Senior Specialist, Data Modeler (Microsoft
Vale
Toronto, Ontario
Full-time
The Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and…
Added 1 month ago
Specialist, Data Developer (Microsoft)
Vale
Toronto, ON
Full-time
You are a highly skilled data professional with deep expertise in modern data platforms, cloud technologies, and advanced analytics solutions. You thrive in complex environments and excel…
Added 1 day ago
Senior BSA / Data Migration Specialist
Epsilon Solutions Ltd.
Toronto, ON
Contract
We are seeking an experienced Senior Business Systems Analyst / Data Migration Specialist to support data transformation or migration between Salesforce and surrounding eco system including…
Added 1 month ago
Senior Specialist, Data Modeler
Vale
Canada
Full-time
The Senior Specialist, Data Modeler (Microsoft) is responsible for designing, developing, and maintaining scalable data models, ETL pipelines, and analytics solutions using Microsoft and…
Added 1 month ago
Specialist, Data Quality Developer
Vale
Toronto, ON
Full-time
The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM)…
Added 1 month ago
Senior Analyst, Data Analytics Enablement
Public Sector Pension Investment Board
Montreal, QC
Full-time
Act as a data specialist for the team, providing subject matter expertise on data structures, sources, and platform capabilities to support analytics and business initiatives
Added 2 months ago
Senior Technical Specialist, Data Automation
Ontario Medical Association
Toronto, Ontario
Full-time
The Senior Technical Specialist, Data Automation is a vital member of OMA’s Technology Department. This position is responsible for designing, delivering, and supporting automated data and…
Added 2 months ago
Senior Technical Specialist, Data Automation
Ontario Medical Association
Toronto, ON
Full-time
The Senior Technical Specialist, Data Automation is a vital member of OMA’s Technology Department. This position is responsible for designing, delivering, and supporting automated data and…
Added 1 day ago
Data Engineering Specialist
Accenture
Toronto, ON
Full-time
Translate requirements from Performance Analytics & Insights into clear data contracts, scalable engineering solutions, and analytics-ready data products.
Added 2 days ago
Data and AI Enablement Specialist(Business Analyst)
TEEMA
Edmonton, AB
Full-time
Our client is looking for a Data & AI Enablement Analyst to help drive the adoption, usability, and effectiveness of data, analytics, and emerging AI solutions across the organization.
Added 11 days ago
SENIOR DATA & DIGITAL TRANSFORMATION SPECIALIST
Colleges and Institutes Canada
Ottawa, ON
$87,463 to $107,055 CAD / year
Full-time
WE ARE LOOKING FOR A SENIOR DATA AND DIGITAL TRANSFORMATION SPECIALIST
Added 1 month ago
Analytics Delivery Specialist
J.D. Irving, Limited
Saint John, NB
Full-time
We are seeking an Analytics Delivery Specialist to join our Analytics & Continuous Improvement team at JDI - Construction & Equipment Division. In this role, you will be responsible for…
Added 5 days ago
Senior Data Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
We're seeking someone to join our Analytics & Reporting Fleet team as a Senior Data Engineering Specialist in Trade Enrichment Data Reporting & Allocations (TEDRA) to build and evolve…
Added 1 month ago
Senior Data Specialist
McKesson
Mississauga, ON
Full-time
The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on Azure…

McKesson

Senior Data Specialist

Mississauga, ON, Canada

Pay: $99,100 - $132,100
Job type: Full-time
Posting language: English
Posted: Aug 6, 2026

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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.

Position Summary

The Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform, with a primary focus on Azure Databricks. This role is responsible for building enterprise-scale data pipelines, implementing modern lakehouse architectures, and enabling trusted, high-quality data products that support analytics, AI/ML, and business decision-making.

The ideal candidate brings deep hands-on experience with Databricks, PySpark, advanced SQL, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Delta Lake, Delta Live Tables (DLT), and Change Data Capture (CDC) frameworks. This individual will play a key role in designing and supporting robust Medallion Architecture patterns while ensuring data quality, performance, security, and governance across the enterprise.

Working closely with architects, product teams, analytics stakeholders, and governance teams, the Senior Data Specialist will deliver scalable, reusable, and production-ready data engineering solutions in a highly regulated environment.

Key Responsibilities

Azure Databricks & Data Engineering

Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL.
Develop and maintain batch and near real-time data ingestion frameworks using Azure Data Factory (ADF), Delta Lake, and CDC methodologies.
Build and support modern Lakehouse solutions leveraging Medallion Architecture (Bronze, Silver, Gold layers).
Design and implement Delta Live Tables (DLT) pipelines to improve reliability, maintainability, and data quality.
Develop highly scalable and resilient ETL/ELT frameworks that process high-volume enterprise datasets.
Optimize Spark workloads, partitioning strategies, job orchestration, and SQL performance for large-scale processing environments.
Implement robust monitoring, alerting, troubleshooting, and performance-tuning practices across data pipelines.

Data Quality & Governance

Establish and maintain data quality validation frameworks, lineage tracking, metadata management, and governance controls.
Implement automated testing and reconciliation processes to ensure data accuracy, completeness, and consistency.
Support regulatory, security, and compliance requirements through documented controls and audit-ready processes.

Solution Delivery & Leadership

Collaborate with architects and stakeholders to translate business requirements into scalable technical solutions.
Drive engineering best practices, code reviews, CI/CD adoption, and reusable framework development.
Mentor junior engineers and provide technical leadership on Databricks and Azure-based implementations.
Evaluate emerging Azure and Databricks capabilities and recommend enhancements to improve platform performance and operational efficiency.

Minimum Qualifications (Knowledge, Skills & Abilities)

Required Technical Skills

Expert-level hands-on Azure Databricks experience designing, building, and supporting enterprise-grade data solutions.
Strong expertise in PySpark and advanced SQL for large-scale data processing and optimization.

Extensive experience with:

Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
Delta Lake
Delta Live Tables (DLT)
Change Data Capture (CDC)
Medallion Architecture
Deep understanding of Spark architecture, job optimization, partitioning strategies, and performance tuning.
Experience architecting and supporting end-to-end ETL/ELT pipelines in cloud-native environments.
Strong knowledge of data modeling, data warehousing, metadata management, and governance best practices.
Experience implementing CI/CD, source control, automated testing, and production deployment processes.
Ability to troubleshoot complex pipeline failures, data quality issues, performance bottlenecks, and integration challenges.

Preferred Technical Skills

Experience with Snowflake and modern cloud data ecosystems.
Experience with Kafka, streaming architectures, and event-driven data processing.
Exposure to AI/ML enablement and advanced analytics workloads within Databricks.
Azure certifications and Databricks certifications are highly preferred.

Business Experience

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline; Master's degree preferred.
7+ years of experience in data engineering and enterprise data platform development.
3+ years of deep hands-on Azure Databricks engineering experience in production environments.
Proven track record building and supporting enterprise-scale data pipelines and Lakehouse implementations.
Experience working with large volumes of structured and semi-structured data.
Healthcare, pharmaceutical, life sciences, or other regulated industry experience strongly preferred.

Working Conditions

Flex & Connect model requiring 2 days per week in office.

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

$99,100 - $132,100

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) [email protected] or (Canada) [email protected]. 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 Senior Data Specialist provides technical leadership in designing, developing, and optimizing cloud-native data solutions on the Azure Data platform. They are responsible for building enterprise-scale data pipelines, implementing modern lakehouse architectures, and ensuring data quality and governance.

Requirements

Candidates must have 7+ years of experience in data engineering with at least 3 years of deep hands-on Azure Databricks experience in production environments. A bachelor's degree in Computer Science, Engineering, or a related field is required, along with expertise in PySpark, SQL, and cloud-native data architecture.

Skills

Azure Databricks
PySpark
SQL
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Delta Live Tables
Change Data Capture
Medallion Architecture
ETL/ELT
Data Engineering
Data Governance
Spark Architecture
CI/CD
Data Modeling

Benefits

Annual bonus
Long-term incentive opportunities

Visa sponsorship

Not detected in the job text

Keywords

Azure Databricks
PySpark
SQL
Azure Data Factory
Azure Data Lake Storage
Delta Lake
Delta Live Tables
Change Data Capture
Medallion Architecture
ETL
ELT
Spark
Data Engineering
Data Governance
Data Modeling
CI/CD
Cloud-native
Lakehouse
Healthcare
Pharmaceutical
Life Sciences
Metadata Management
Performance Tuning
Automation
Azure
Data Pipelines
Enterprise Data Platform
Analytics
AI/ML
Regulatory Compliance

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