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About McKesson Compile

Established in 1833, McKesson is a Fortune 10 global leader in healthcare supply chain management solutions, retail pharmacy, healthcare technology, community oncology, and specialty care. We partner with life sciences companies, manufacturers, providers, pharmacies, governments, and other healthcare organizations to help provide the right medicines, medical products, and healthcare services to the right patients at the right time, safely and cost effectively. Our enterprise consists of the following businesses:

• Pharmaceutical Solutions and Services (PSaS)
• Medical Surgical Solutions (MMS)
• CoverMyMeds (CMM)
• McKesson International (Europe and Canada)

McKesson draws upon its rich and nearly 200-year history to serve as the central nervous system of healthcare, touching nearly 1/3 of all pharmaceuticals used each day in North America, leading as the 4th largest pharmacy chain, and serving as the #1 distributor in Oncology and key specialties. Most recently, McKesson has been awarded the honor and public health responsibility of serving as the centralized distributor of the COVID 19 vaccine(s) and all associated ancillary products and supplies.

McKesson Compile’s data is a comprehensive, full linked system of record for the US Healthcare market, with intelligence on 2M+ healthcare professionals (HCPs) and over 800K facilities. Compile’s data includes high capture medical and pharmacy claims, closed capture Medicare claims (100%), along with best-in-class provider affiliations and customer master. The linked data enables commercial teams to move beyond the traditional approaches that only rely on claims volumes. Our innovations include - Best-in-class provider affiliations - Fully linked data across claims, affiliations, customer master and more - Cleansed, normalized and analytics-ready patient-level data.

We deliver careers with purpose and potential. Our focus on better health starts with creating an inclusive environment with strong values where you can build a fulfilling career. You can count on us to provide you with resources and opportunities to grow and be your best, while contributing to our pursuit of improving lives.

What sets McKesson apart as an exceptional place is our people. Our employees understand that together, unified by our global i²care values, we fulfil our mission and uphold our reputation as a trusted partner to our customers and their patients. Our i²care values are foundational to all that we do, and who we are as a company.

Integrity – We do What’s right

Inclusion –We embrace and respect each other as we are

Customer First – We succeed when our customers succeed

Accountability – We take personal responsibility for our actions and our work

Respect – We treat people with dignity and respect

Excellence – We insist upon quality

Job Description: Architect

As a software architect, you will play a critical role in designing and implementing scalable, secure, and efficient data solutions to align with the broader technical and business strategy. This is a hands-on technical leadership role that requires a deep understanding of modern data architectures, big data processing, cloud infrastructure, and team collaboration.

Key Responsibilities

1. Architectural Leadership

• Design and implement robust, scalable, and secure data platforms to support batch and real-time data processing.
• Define architecture for core data systems, including data ingestion pipelines, data lakes, data warehouses, and analytics platforms.
• Ensure solutions are aligned with the enterprise data architecture strategy.
• Develop detailed design documentation, including architecture diagrams, data flows, and interface specifications.

2. Collaboration and Stakeholder Management

• Partner with the Data Engineering and Data Science teams to define and implement high-performance data workflows and analytics solutions.
• Collaborate with the Product team to understand business requirements and translate them into scalable data solutions.
• Work closely with Cloud/Infrastructure teams to optimize deployment, storage, and cost efficiency.

3. Governance and Best Practices

• Define and enforce standards for data architecture, including data quality, security, privacy, and compliance (e.g., GDPR, HIPAA).
• Promote best practices for data modeling, data versioning, data lineage, and data governance.
• Conduct design and code reviews to ensure high standards of technical excellence.

4. Technology Strategy and Innovation

• Evaluate, recommend, and implement tools and technologies for data processing, storage, and orchestration (e.g., Spark, Kafka, Airflow, dbt).
• Stay updated with emerging trends in big data, cloud computing, and data engineering and assess their applicability to the platform.
• Proactively identify and resolve technical challenges related to performance, scalability, and security.

5. Technical Enablement and Leadership

• Provide hands-on technical guidance and mentoring to Data Engineering teams.
• Help establish a culture of innovation, collaboration, and continuous improvement within the engineering teams.
• Ensure the architecture is adaptable to future business needs and technical advancements.

Required Qualifications

Technical Expertise

• Proven experience in architecting and implementing scalable cloud or data solutions in cloud environments (AWS, Azure, or GCP).
• Strong understanding of microservices architecture and API design for data access.
• Experience in big data technologies such as Apache Spark, Kafka, Hadoop, and modern ETL tools like Airflow or dbt.
• Deep knowledge of database systems, including both SQL (e.g., PostgreSQL, Redshift) and NoSQL (e.g., MongoDB, Cassandra).
• Strong programming skills in languages such as Python, Java, or Scala.
• Expertise in optimizing storage and processing for structured, semi-structured, and unstructured data.

Leadership and Communication

• Strong ability to explain technical concepts to non-technical stakeholders and align diverse teams around a common vision.
• Demonstrated experience in mentoring engineers and fostering collaboration across cross-functional teams.
• Proven track record of driving large-scale projects from design to implementation.

Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software development, with 3+ years in designing scalable architecture.
• Experience in a fast-paced, agile environment is a plus.