Gestionnaire, Ingnierie du Hub de donnes et Produits de donnes/Manager, Data Hub Eng & Data Products

McKesson, l?une des 10 premires entreprises du classement Fortune Global 500, touche pratiquement tous les aspects des soins de sant et s?emploie faire une relle diffrence. Nous sommes reconnus pour notre capacit offrir un savoir, des produits et des services qui rendent les soins de qualit plus accessibles et plus abordables. Chez nous, la sant, le bonheur et le bien-tre de nos gens et des personnes que nous desservons sont prioritaires?et nous tiennent c?ur.

Ce que tu fais chez McKesson a de l?importance. Nous favorisons une culture o tu peux t?panouir et avoir un impact, et o tu es encourag proposer de nouvelles ides. Ensemble, nous faonnons l?avenir de la sant pour nos patients, nos communauts et nos quipes. Si tu souhaites ds aujourd?hui contribuer la sant de demain, nous aimerions avoir de tes nouvelles.

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.

Description de poste

propos du poste

McKesson est la recherche d?un(e) Gestionnaire, Ingnierie du Hub de donnes et Produits de donnes pour diriger des quipes responsables des plateformes et pipelines de donnes infonuagiques volutifs, fiables et scuriss. Dans ce rle, vous combinerez le leadership d?quipe avec une expertise technique en Snowflake, Databricks, ETL, architecture de donnes, modlisation des donnes et automatisation des pipelines.

Vous traduirez les priorits d?affaires en plans pratiques d?ingnierie des donnes, dirigerez plusieurs initiatives et collaborerez avec les quipes d?architecture, de produit, de scurit, d?analytique et d?exploitation. Vous contribuerez l?amlioration de la qualit de l?ingnierie, de la prvisibilit des livraisons, de la fiabilit des plateformes et des capacits de l?quipe, tout en soutenant les objectifs stratgiques globaux de McKesson.

Ce que vous ferez

• Diriger et dvelopper des ingnieurs de donnes ainsi que des gestionnaires de premier niveau responsables des plateformes de donnes infonuagiques, des produits de donnes et des pipelines automatiss.
• Dfinir et excuter des plans d?ingnierie pour les environnements Snowflake et Databricks, en harmonie avec les exigences d?affaires, de scurit, de fiabilit et de gouvernance.
• Orienter la conception d?architectures de donnes volutives, de modles de donnes dimensionnels et relationnels, de flux ETL/ELT et de modles d?intgration rutilisables.
• Favoriser l?automatisation de l?ingestion, de la transformation, de l?orchestration, des tests, du dploiement, de la surveillance et du soutien oprationnel des donnes.
• Superviser plusieurs initiatives d?ingnierie des donnes en grant la porte, les dpendances, les risques lis la livraison, la qualit technique et les attentes des parties prenantes.
• Utiliser les indicateurs de performance de l?ingnierie et les mtriques des plateformes afin d?amliorer la qualit des donnes, la performance des pipelines, la fiabilit, l?efficacit des cots et la prvisibilit des livraisons.
• Collaborer avec les quipes d?architecture, d?analytique, de produit, de scurit, d?exploitation, les fournisseurs et les parties prenantes d?affaires afin de rsoudre des dfis complexes lis aux donnes et aux plateformes.
• Soutenir la planification des effectifs, le recrutement, l?intgration, le coaching, la planification de la relve, les budgets et la performance des fournisseurs.

Exigences de base

• Plus de 6 ans d?exprience pertinente en ingnierie des donnes ou en dveloppement logiciel, incluant de 0 2 ans d?exprience en gestion de personnel, supervision ou direction technique d?quipe.
• Exprience dmontre dans la conception ou la livraison de pipelines de donnes d?entreprise et de solutions ETL/ELT.
• Exprience pratique avec des plateformes de donnes infonuagiques, notamment Snowflake, Databricks ou des technologies comparables.
• Exprience en architecture et modlisation de donnes, incluant la capacit de traduire les exigences d?affaires en structures de donnes volutives.
• Exprience dans l?automatisation des pipelines de donnes, des dploiements, des tests, de la surveillance ou de l?orchestration.
• Exprience dmontre dans la gestion de multiples projets techniques et la coordination du travail entre les quipes d?ingnierie et les quipes d?affaires.
• Exprience dans l?utilisation de mesures de livraison, de qualit, de fiabilit ou d?exploitation pour orienter les dcisions et l?amlioration continue.
• Excellentes comptences en communication crite et verbale, incluant la capacit d?expliquer des options techniques, des risques et des compromis divers publics.

Comptences et exprience privilgies

• Exprience avec Matillion pour le dveloppement et l?orchestration ETL/ELT infonuagiques.
• Exprience dans l?utilisation combine de Snowflake et Databricks dans des environnements de donnes d?entreprise.
• Connaissance de la modlisation dimensionnelle, des lacs de donnes, de l?architecture lakehouse, des entrepts de donnes et des modles d?intgration de donnes.
• Exprience avec SQL, Python, Spark, les API ou d?autres technologies connexes d?ingnierie des donnes.
• Familiarit avec les pratiques CI/CD, l?infrastructure en tant que code, les tests automatiss des donnes, la gestion du code source et l?observabilit.
• Exprience en gouvernance des donnes, gestion des mtadonnes, qualit des donnes, traabilit, confidentialit, scurit et prparation aux audits.
• Exprience dans la gestion des fournisseurs, des cots de plateformes, des budgets d?ingnierie, de la capacit ou de l?optimisation des ressources infonuagiques.
• Diplme universitaire en informatique, en gnie, en systmes d?information ou dans une discipline connexe, ou exprience pratique quivalente.

Dplacements, environnement de travail et exigences physiques

• Les modalits de travail, la prsence au bureau (2 jours par semaine) et les exigences de dplacement seront dtermines en fonction du lieu approuv et des besoins de l?quipe.
• Des dplacements d?affaires occasionnels peuvent tre requis.
• Ce poste ncessite l?utilisation rgulire d?quipements informatiques et d?outils de collaboration standard pendant de longues priodes.
• Des mesures d?adaptation raisonnables peuvent tre offertes conformment aux politiques et aux lois applicables.

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Manager, Data Hub Eng & Data Products

About the Role

McKesson is seeking a Manager, Data Hub Eng & Data Products to lead teams responsible for scalable, reliable, and secure cloud data platforms and pipelines. In this role, you will combine people leadership with technical expertise in Snowflake, Databricks, ETL, data architecture, data modeling, and pipeline automation.

You will translate business priorities into practical data engineering plans, guide multiple initiatives, and partner with architecture, product, security, analytics, and operations teams. You will help improve engineering quality, delivery predictability, platform reliability, and team capability while supporting McKesson?s broader strategic objectives.

What You?ll Do

• Lead and develop data engineers and first-line leaders responsible for cloud data platforms, data products, and automated pipelines.

• Define and execute engineering plans for Snowflake and Databricks environments, aligned with business, security, reliability, and governance requirements.

• Guide the design of scalable data architectures, dimensional and relational data models, ETL/ELT workflows, and reusable integration patterns.

• Drive automation across data ingestion, transformation, orchestration, testing, deployment, monitoring, and operational support.

• Oversee multiple data engineering initiatives, managing scope, dependencies, delivery risks, technical quality, and stakeholder expectations.

• Use engineering KPIs and platform metrics to improve data quality, pipeline performance, reliability, cost efficiency, and delivery predictability.

• Partner with architecture, analytics, product, security, operations, vendors, and business stakeholders to resolve complex data and platform challenges.

• Support workforce planning, hiring, onboarding, coaching, succession planning, budgets, and vendor performance.

Basic Requirements

• 6+ years of relevant data or software engineering experience, including 0?2 years of people leadership, supervision, or technical team leadership.

• Demonstrated experience designing or delivering enterprise data pipelines and ETL/ELT solutions.

• Hands-on experience with cloud data platforms, including Snowflake, Databricks, or comparable technologies.

• Experience with data architecture and data modeling, including the ability to translate business requirements into scalable data structures.

• Experience automating data pipelines, deployments, testing, monitoring, or orchestration.

• Demonstrated experience leading multiple technical projects and coordinating work across engineering and business teams.

• Experience using delivery, quality, reliability, or operational metrics to guide decisions and continuous improvement.

• Clear written and verbal communication skills, including the ability to explain technical options, risks, and trade-offs to varied audiences.

Preferred Skills/Experience

• Experience with Matillion for cloud-based ETL/ELT development and orchestration.

• Experience using both Snowflake and Databricks in enterprise data environments.

• Knowledge of dimensional modeling, data lakes, lakehouse architecture, data warehousing, and data integration patterns.

• Experience with SQL, Python, Spark, APIs, or related data engineering technologies.

• Familiarity with CI/CD, infrastructure as code, automated data testing, source control, and observability practices.

• Experience with data governance, metadata management, data quality, lineage, privacy, security, and audit readiness.

• Experience managing vendors, platform costs, engineering budgets, capacity, or cloud resource optimization.

• Bachelor?s degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience.

Travel, Work Environment and Physical Requirements

• Work arrangement, office attendance (2X), and travel requirements will be based on the approved location and needs of the team.

• Occasional business travel may be required.

• This role routinely uses standard computer and collaboration equipment for extended periods.

• Reasonable accommodations may be available in accordance with applicable policy and law.

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

Notre chelle salariale de base pour ce poste

Our Base Pay Range for this position

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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

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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 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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