Lead Data 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 tomorrow’s health today, we want to hear from you.

Overview
MomentimRx is advancing a modern healthcare data platform and digital products to accelerate innovation and improve patient health outcomes. The Lead Data Architect will lead the design and execution of enterprise-scale, secure, and scalable data solutions, shaping the next-generation healthcare data capabilities at McKesson.

This role partners with business and technology leaders to define architectural strategy, drive interoperability, and enable AI/ML and analytics-ready environments.

Key Responsibilities

• Architecture Leadership: Define technical strategy, architecture standards, and long term roadmap; lead design and planning for new platforms, products, and services; 

• establish enterprise-wide best practices and reusable patterns.

• Technology Innovation & Delivery: Oversee architectural execution of enterprise scale data solutions; evaluate emerging technologies and recommend innovative, 

• business-aligned solutions; mentor teams on modern architecture and cloud-native 

• practices.

• Governance, Security & Compliance: Provide technical governance through 

• architecture review boards and standards enforcement; ensure compliance with 

• healthcare regulations and enterprise security standards; embed data security, privacy, 

• and regulatory compliance in all data architecture designs. Partner closely with 

• Compliance, Privacy, and Enterprise Governance teams to define and execute a holistic 

• data strategy aligned with regulatory requirements and enterprise risk posture.

• Data Strategy & Governance Integration: Work in close collaboration with Data 

• Governance organizations to operationalize metadata management and lineage by 

• integrating enterprise data assets with governance platforms such as Alation. Ensure 

• consistent capture, enrichment, and stewardship of metadata across data platforms to 

• support discoverability, lineage, data quality, and auditability.

• Documentation & Standards: Develop and maintain comprehensive documentation 

• of data architecture, data dictionaries, and data flow diagrams; ensure consistency, 

• traceability, and quality across platforms.

Minimum Requirement

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

Critical Skills & Experience

• 10+ years in technology roles with significant architecture experience in complex 

• enterprises.

• Cloud & Data Platforms: Expertise in Azure, Databricks, multi-cloud architectures, 

• data lakes/lakehouses, real-time streaming, Unity Catalog, and modern data 

• governance frameworks.

Data Architecture & Engineering

• Strong proficiency in data modeling techniques (conceptual, logical, physical) and 

• experience with data modeling tools.

• Advanced data modeling, normalization, ETL/ELT pipeline design, and 

• batch/streaming architectures.

• Experience with relational databases (SQL Server, Oracle, PostgreSQL) and NoSQL 

• databases (MongoDB, Cassandra, DynamoDB).

• Familiarity with data governance frameworks, data quality management, and 

• master data management (MDM) principles.

• Integration of external data sources, SFTP-based ETL, and real-time pipelines.

• Experience integrating metadata and lineage into enterprise data governance 

• platforms (e.g., Alation) to enable discoverability, auditability, and data quality 

• across the organization.

• Interoperability & Standards: SOA modernization, service-based architectures, 

• OAuth2/OIDC/SMART/RBAC/ABAC; deep understanding of healthcare data standards 

• (HL7, FHIR, ICD-10) and HIPAA compliance.

• AI & Analyti