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Sr. Director - Data Architecture & Engineering
Salary undisclosed
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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.
The Director of Data Architecture & Engineering will play a crucial role within the business, overseeing the design, implementation, and management of our medallion architecture Data Lakehouse and cloud-based analytics environments.
This position is responsible for ensuring that the Data Lakehouse is scalable and accommodates multiple source systems, supports business objectives, and adheres to best practices in data architecture and engineering. The ideal candidate will have a strong background in data management, architecture, engineering, and integration, with a proven track record of leading complex data projects in the cloud environment.
Key Responsibilities:
1. Strategic Leadership:
- Develop and execute the data architecture and engineering strategy aligned with the company's business and IT goals.
- Collaborate with business and IT leaders to understand data and development needs and ensure that data architecture and engineering support these requirements and are built for scale.
2. Data Lakehouse Development:
- Lead the design, build, and implementation of a scalable Data Lakehouse that integrates multiple source systems and aligned with the data consumption needs of all business users.
- Ensure the data Lakehouse is optimized for performance, scalability, modularity, and reliability.
3. Cloud Environment Management:
- Own the implementation and sustainability of cloud environments that enable analytics, application development, and data science.
- Ensure the cloud infrastructure is secure, scalable, modular, and cost-effective.
4. Data Pipeline Development:
- Build and maintain robust data pipelines within a medallion architecture framework.
- Oversee the integration of disparate data sources into the Data Lakehouse, ensuring data consistency, modularity, and quality.
5. Technical Expertise:
- Stay abreast of industry trends and emerging technologies in data architecture and engineering.
- Provide technical guidance and mentorship to the data architecture and engineering teams.
6. Collaboration and Communication:
- Work closely with data engineers, data architects, data scientists, and data analysts to ensure seamless data flow, data storage, and accessibility.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner to ensure understanding and adherence to our data strategy.
7. Compliance and Best Practices:
- Ensure compliance with data privacy regulations and industry standards.
- Promote best practices in data management, architecture, and engineering across the organization.
Minimum Requirements:
-Degree or equivalent experience. Typically requires 13+ years of professional
experience and 6+ years of diversified leadership, planning, communication, organization, and people motivation skills (or equivalent experience).
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
- 10+ years of experience in data architecture, data engineering, data management, or related roles.
- Proven experience in designing and implementing Data Lakehouses and data warehouses.
- Strong knowledge of data integration techniques and tools.
- Proficiency in ELT and ETL processes, data modeling, and medallion architecture.
- Experience with cloud platforms (e.g., Azure, Databricks, Snowflake, Google Cloud)
- Excellent leadership, communication, and project management skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
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.
Our Base Pay Range for this position
$176,900 - $294,800
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
Join us at McKesson!
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.
The Director of Data Architecture & Engineering will play a crucial role within the business, overseeing the design, implementation, and management of our medallion architecture Data Lakehouse and cloud-based analytics environments.
This position is responsible for ensuring that the Data Lakehouse is scalable and accommodates multiple source systems, supports business objectives, and adheres to best practices in data architecture and engineering. The ideal candidate will have a strong background in data management, architecture, engineering, and integration, with a proven track record of leading complex data projects in the cloud environment.
Key Responsibilities:
1. Strategic Leadership:
- Develop and execute the data architecture and engineering strategy aligned with the company's business and IT goals.
- Collaborate with business and IT leaders to understand data and development needs and ensure that data architecture and engineering support these requirements and are built for scale.
2. Data Lakehouse Development:
- Lead the design, build, and implementation of a scalable Data Lakehouse that integrates multiple source systems and aligned with the data consumption needs of all business users.
- Ensure the data Lakehouse is optimized for performance, scalability, modularity, and reliability.
3. Cloud Environment Management:
- Own the implementation and sustainability of cloud environments that enable analytics, application development, and data science.
- Ensure the cloud infrastructure is secure, scalable, modular, and cost-effective.
4. Data Pipeline Development:
- Build and maintain robust data pipelines within a medallion architecture framework.
- Oversee the integration of disparate data sources into the Data Lakehouse, ensuring data consistency, modularity, and quality.
5. Technical Expertise:
- Stay abreast of industry trends and emerging technologies in data architecture and engineering.
- Provide technical guidance and mentorship to the data architecture and engineering teams.
6. Collaboration and Communication:
- Work closely with data engineers, data architects, data scientists, and data analysts to ensure seamless data flow, data storage, and accessibility.
- Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner to ensure understanding and adherence to our data strategy.
7. Compliance and Best Practices:
- Ensure compliance with data privacy regulations and industry standards.
- Promote best practices in data management, architecture, and engineering across the organization.
Minimum Requirements:
-Degree or equivalent experience. Typically requires 13+ years of professional
experience and 6+ years of diversified leadership, planning, communication, organization, and people motivation skills (or equivalent experience).
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
- 10+ years of experience in data architecture, data engineering, data management, or related roles.
- Proven experience in designing and implementing Data Lakehouses and data warehouses.
- Strong knowledge of data integration techniques and tools.
- Proficiency in ELT and ETL processes, data modeling, and medallion architecture.
- Experience with cloud platforms (e.g., Azure, Databricks, Snowflake, Google Cloud)
- Excellent leadership, communication, and project management skills.
- Ability to work collaboratively in a fast-paced, dynamic environment.
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.
Our Base Pay Range for this position
$176,900 - $294,800
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
Join us at McKesson!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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