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Job Title

Lead Data Engineer – Operations (KTLO), Decision Intelligence

Summary

The PSaS Decision Intelligence (DI) Data Architecture & Engineering team is seeking a technically strong and operationally focused Lead Data Engineer to own the day‑to‑day operations of our enterprise Data & Analytics platforms. This role is centered on KTLO (Keep the Lights On) ownership—ensuring platform stability, SLA‑driven support, service request fulfillment, and continuous improvement across both contemporary and legacy data ecosystems. The role combines deep technical expertise with operational leadership and close partnership with data, analytics, and business stakeholders.

What You’ll Do

- Lead day‑to‑day operations of PSaS Data & Analytics platforms, ensuring platform reliability, performance, and SLA compliance
- Own KTLO responsibilities including incident management, root cause analysis, service request execution, and minor enhancements
- Partner with Data Engineers, Data Scientists, Architects, and Program Managers to design, support, and maintain enterprise data solutions
- Support data exploration and analysis activities, including requirements assessment, data source identification, and exploratory research
- Define, maintain, and govern data definitions, business rules, metadata, and lineage
- Ensure high data quality through validation, monitoring, and testing (functional, regression, exploratory)
- Identify, document, and advocate for reduction of technical debt across the data landscape
- Design scalable, reusable, automation‑first data engineering solutions with an enterprise mindset
- Build and support batch and real‑time data pipelines across internal and external data sources
- Collaborate across Agile teams to design, develop, test, implement, and support end‑to‑end data solutions




- Implement data governance practices in partnership with business stakeholders and enterprise data governance teams
- Troubleshoot, monitor, and performance‑tune data platforms, pipelines, and analytical services
- Communicate platform health, insights, and outcomes through documentation, reports, and presentations
- Coordinate delivery across internal teams, external partners, and multi‑shore resources

What You Bring

- Proven depth of experience delivering and supporting enterprise‑scale data engineering solutions in production environments
- Extensive hands‑on expertise with Databricks, Snowflake, Azure Data Factory, PySpark, analytical SQL, and modern cloud data platforms
- Strong experience with data visualization and analytics consumption tools such as Power BI
- Working knowledge of SAP ecosystems and legacy technologies including SQL Server, IBM DataStage, and Unix scripting
- Demonstrated ownership of production platforms and KTLO operations in SLA‑driven environments
- Strong understanding of data architecture, data modeling, data governance, metadata, and lineage
- Experience analyzing and modeling structured data using statistical, mathematical, or data‑mining techniques
- Familiarity with enterprise infrastructure concepts including SaaS, PaaS, IaaS, and Infrastructure as Code (IaC) approaches
- Strong troubleshooting, monitoring, and performance‑tuning skills across data platforms and analytical services




- Ability to influence architecture and technical direction without formal people management responsibility
- Excellent communication and stakeholder management skills, with the ability to explain complex concepts clearly
- Demonstrated ability to independently drive outcomes while operating under consultative direction

Minimum Qualifications

- Degree or equivalent and typically requires 10+ years of relevant experience. Less years required if has relevant Master’s or Doctorate qualifications.

Preferable Skills & Experience

- Experience supporting Decision Intelligence, Distribution, or PSaS business domains
- Exposure to Splunk, Alation, or data observability and cataloging tools
- Experience operating in highly regulated, complex enterprise environments
- Strong documentation, data stewardship, and operational excellence mindset

Equal Opportunity Employer

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) or (Canada) Resumes or CVs submitted to this email box will not be accepted.

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Apply on Kit Job: kitjob.ca/job/2g9caw

📌 Lead Data Engineer (Mississauga)
🏢 McKesson
📍 Mississauga