Sr. Delivery Solution Architect

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 tomorrows health today we want to hear from you.

Position Summary

The Delivery Solutions Architect is a senior individual contributor responsible for designing and delivering enterprise-scale data analytics and cloud solutions that align with business strategy architecture standards security requirements governance frameworks and operational objectives. This role serves as a trusted advisor to business and technology stakeholders providing architectural leadership across complex initiatives while influencing technical direction through expertise and collaboration rather than direct people management.

The ideal candidate possesses deep expertise in modern data architectures Databricks Lakehouse platforms Azure cloud technologies data modeling governance and enterprise analytics solutions with a proven ability to guide delivery teams from strategy through implementation.

Key Responsibilities

• Lead the architecture design and delivery of enterprise data analytics integration and cloud solutions.
• Translate business strategies and requirements into scalable secure and supportable data platform architectures.
• Develop target-state architectures solution blueprints reference patterns and implementation roadmaps.
• Design modern Lakehouse and analytics platforms supporting reporting advanced analytics AI/ML data governance and enterprise data products.
• Establish architecture standards design principles data modeling frameworks and governance processes to ensure consistency across solutions.
• Evaluate technology options and communicate architectural tradeoffs risks costs and business impacts to stakeholders.
• Partner with product engineering security data and business teams to ensure successful solution delivery.
• Define integration strategies utilizing APIs event-driven architectures messaging platforms and ETL/ELT patterns.
• Design scalable data ingestion transformation storage and consumption architectures leveraging modern cloud-native technologies.
• Embed security privacy compliance resiliency observability and operational support requirements into solution designs.
• Lead architecture reviews and provide technical guidance to delivery teams throughout the project lifecycle.
• Influence enterprise data and analytics roadmaps through thought leadership and technical expertise.
• Mentor team members and provide architecture guidance across multiple projects and workstreams.

Minimum Qualifications

• Degree in Computer Science Engineering Information Systems or related discipline or equivalent experience.
• Typically requires 8 years of relevant experience with significant experience in solution architecture data architecture analytics architecture cloud architecture or technology consulting.
• Experience architecting enterprise-scale data platforms analytics solutions and cloud-native architectures.
• Strong knowledge of Azure cloud services including data and analytics technologies.
• Hands-on experience with Databricks Lakehouse architectures Delta Lake and enterprise analytics platforms.
• Experience with data lakes lakehouses data warehouses data governance and large-scale data ecosystems.
• Strong understanding of data modeling data architecture principles ETL/ELT frameworks and data integration patterns.
• Experience designing secure data solutions utilizing RBAC data governance privacy and compliance controls.
• Strong understanding of APIs event-driven architecture microservices and integration frameworks.
• Exceptional communication and stakeholder management skills including executive-level presentations.

Preferred Qualifications

• Experience supporting AI/ML advanced analytics and data modernization initiatives.
• Experience with Databricks Lakehouse Platform Delta Live Tables (DLT) Unity Catalog and PySpark.
• Knowledge of healthcare pharmaceutical distribution supply chain or regulated industries.
• Experience leading enterprise data transformation and cloud migration initiatives.
• Architecture cloud Databricks or data platform certifications.
• Experience building and governing enterprise data products and analytics solutions.

Work Model / Physical Requirements

We are Flex and Connect with 2 days a 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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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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 McKessons 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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