McKesson
Healthcare
DatabaseArchitect
Neural analysis suggests this role is
optimal for Mid candidates.
“Database Architect at McKesson. Skills: Cloud data architecture, Azure PostgreSQL, Azure SQL, Database migration. Design and evolve cloud data architecture. Define scalable and secure data solutions”
Industry & Context.
Independently solves complex data architecture challenges spanning multiple systems; Applies sound judgment in selecting patterns, technologies, and trade-offs within established architectural guidelines
Unable to provide sponsorship for this role presently or in the future
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 4+ years of experience in data architecture, database design, or data engineering, 4+ years of knowledge of cloud-native database platforms (Azure preferred), 4+ years of hands-on experience with Azure PostgreSQL (Flexible Server strongly preferred), 4+ years of hands-on experience with Azure SQL / SQL Server, 4+ years of experience with database migration strategies, 4+ years of proficiency in Terraform or equivalent Infrastructure-as-Code tools, 4+ years of proficiency in CI/CD pipeline integration for database deployments, Solid understanding of data modeling (relational and NoSQL), Solid understanding of distributed data patterns (sharding, CQRS, event-driven architectures), Experience documenting data architecture standards and procedures
Nice to Have
Experience with Azure ecosystem services (ADF, Synapse, Data Lake, Cosmos DB), Familiarity with FHIR and healthcare data interoperability standards, Experience with Liquibase or similar schema/versioning tools, Experience with ArgoCD or GitOps deployment models, Exposure to domain-driven design and microservices-based data architecture, Reside in the Columbus, OH metropolitan area
What You'll Do.
Design and evolve cloud data architecture
Define scalable and secure data solutions
Drive best practices in data modeling
Drive best practices in data integration
Drive best practices in automation
Drive best practices in interoperability
Define reference architectures
Define reusable patterns
Design and maintain data models
Define standards for data structures
Define standards for naming conventions
Define standards for data lifecycle management
Ensure alignment between application architecture and data design
Design and guide implementation of solutions
Establish architecture patterns for HA
Establish architecture patterns for scalability
Establish architecture patterns for DR
Provide guidance on database selection
Lead data architecture for migration
Lead data architecture for re-platforming
Define strategies for data migration
Define strategies for data synchronization
Define strategies for cutover
Define strategies for schema modernization
Define strategies for decomposition of legacy designs
Design integration patterns for batch data movement
Design integration patterns for real-time data movement
Support implementation of FHIR-based data structures
Support implementation of interoperability patterns
Ensure consistency and quality across distributed data systems
Establish standards for data security
Establish standards for access controls
Establish standards for data classification
Establish standards for data protection
Establish standards for audit requirements
Establish standards for compliance requirements
Ensure architecture aligns with enterprise governance models
Partner with application teams
Partner with engineers
Partner with business stakeholders
Translate requirements into scalable data solutions
Act as a consultative architect
Influence design decisions
Produce and maintain architecture documentation
Produce and maintain architecture standards
Produce and maintain reference patterns
How You'll Work.
Team & Collaboration
Partner with application teams, DBAs, engineers, and business stakeholders; Act as a consultative architect, influencing design decisions without creating delivery bottlenecks
Full Job Description
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. Fully competent Data Architect operating independently with limited supervision. Responsible for end-to-end design decisions within their domain, contributing to enterprise standards and modernization initiatives. Work is evaluated based on quality, scalability, and alignment to architectural principles rather than task completion alone. **ROLE SUMMARY** This role is responsible for designing and evolving the organization’s cloud data architecture as applications are migrated and re-architected from on-premises systems to Azure. The Data Architect will define scalable and secure data solutions leveraging Azure-managed database services (PostgreSQL Flexible Server, Azure SQL) and drive best practices in data modeling, integration, automation, and interoperability (including FHIR where applicable). **KEY RESPONSIBILITIES** **Data Architecture & Modeling** * Define reference architectures and reusable patterns that enable consistent adoption across multiple application teams * Design and maintain **conceptual, logical, and physical data models** for modernized applications * Define standards for data structures, naming conventions, and data lifecycle management * Ensure alignment between application architecture and data design (transactional + domain-driven patterns) **Cloud Data Platform Architecture** * Design and guide implementation of solutions using: * Azure Po
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