Sr. Delivery Solution Architect

Job summary

Design and implement scalable data architecture solutions on Azure Databricks to support AI and analytics use cases. Collaborate with cross-functional teams to develop data models and AI-ready pipelines, including support for Retrieval-Augmented Generation (RAG).

Job details

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 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 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. [https://careers.mckesson.com/en/benefits] 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 [http://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 [https://www.mckesson.com/about-mckesson/eeo-at-mckesson/] 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) Disability_Accommodation@McKesson.com [Disability_Accommodation@McKesson.com] or (Canada) Accessibility@mckesson.ca [Accessibility@mckesson.ca]. Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

What you’ll do

Design and implement scalable data architecture solutions on Azure Databricks to support AI and analytics use cases. Collaborate with cross-functional teams to develop data models and AI-ready pipelines, including support for Retrieval-Augmented Generation (RAG).

Requirements

Requires 7+ years of experience in data architecture or engineering with proven expertise in Azure Databricks and data modeling. Proficiency in SQL, Python, or Spark is essential, along with experience in data governance and security practices.

Benefits

• Annual Bonus
• Long-term Incentive Opportunities
• Competitive Compensation Package

Listed skills

• Microsoft Azure · Preferred
• Technical · Preferred
• Collaboration · Preferred
• Leadership · Preferred
• Health · Preferred
• Teams · Preferred
• Data analysis · Preferred
• Compliance · Preferred
• Communication · Preferred
• Integration · Preferred
• discipline · Preferred
• email · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Azure Databricks
• Data Architecture
• Data Modeling
• SQL
• Python
• Spark
• ETL/ELT Frameworks
• Data Governance
• Unity Catalog
• RAG
• Vector Search
• MLflow
• Cloud Data Platforms
• Data Lineage
• Dimensional Modeling
• Domain-Driven Design

Job areas

• Data & Analytics
• Technology
• Healthcare
• Software
• Engineering

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