What are the responsibilities and job description for the Enterprise Architecture Data Architect position at MCK McKesson Corporation?
Position Description
We are seeking a skilled Enterprise Architecture Data Architect to join our team!
This role focuses on creating a scalable and efficient data architecture that supports business analytics, reporting, and data management efforts. The ideal candidate will have extensive experience in data modeling, database design, data governance, and cloud-based data solutions. They will play a crucial role in ensuring data quality, accessibility, and security across the organization.
Key Capabilities
Data Strategy
Develop and implement a comprehensive data architecture that aligns with the organization's goals and supports business intelligence and analytics initiatives.
Data Modeling
Design data models for operational and analytical systems, ensuring consistency and scalability.
Database Management
Oversee the design and maintenance of database systems, ensuring performance optimization and security.
Data Integration
Define and implement data integration strategies across systems, both on-premise and in the cloud, ensuring seamless data flow across the enterprise.
Collaboration
Work closely with data engineers, application architects, and business stakeholders to align data strategies with overall enterprise architecture.
Emerging Technologies
Evaluate and recommend emerging data technologies, tools, and platforms that support the organization's data architecture.
Data Governance
Support and enforce data governance policies and standards to ensure data quality, security, and regulatory compliance.
Minimum Requirements
Typically requires 13 years, with 8 years, of direct work related experience
Critical Skills
Expertise in data modeling tools
Experience with data governance frameworks and best practices.
Experience Communicate architectural decisions and plans effectively to both technical and non-technical audiences.
Proficiency in SQL, Python, and other data management programming languages.
Proven experience with cloud-based data platforms (AWS, Azure, Google Cloud).
Strong knowledge of relational and NoSQL databases, data warehousing, and ETL processes.
Additional Skills
Excellent problem-solving skills and attention to detail.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Strong problem-solving and analytical skills.
Ability to manage multiple tasks and projects concurrently.
Education
Bachelor’s degree in a technical discipline preferred or relevant professional experience
Physical Requirements : General Office Demands
Must be authorized to work in the US. Sponsorship is not available for this position.
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
Our Base Pay Range for this position
173,300 - $288,900
Salary : $173,300 - $288,900
