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.
At CoverMyMeds, our mission is to help people get the medicine they need to live healthier lives. We achieve this by creating innovative solutions that streamline the medication access process, ultimately reducing administrative burdens for healthcare providers and enhancing patient outcomes. As a Senior Data Architect, you will play a pivotal role in driving our database strategy across all products. Your expertise will ensure that our data infrastructure is robust, scalable, and aligned with our mission, enabling us to harness the power of data to improve healthcare delivery and support our ongoing commitment to making medication accessible to all.

MINIMUM JOB QUALIFICATIONS:

Degree or equivalent and typically requires 7+ years of relevant experience

EDUCATION:

Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience.

CRITICAL SKILLS:

• Minimum 10 years of experience in database engineering/management required;
• Knowledge of software development methodologies (e.g., Agile, Waterfall, SDLC, CI/CD).
• 7+ years’ experience working with data sources and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases.
• Strong knowledge of industry best practices — code coverage.
• Strong knowledge of database concepts, data modeling techniques, system performance analysis and tuning, and data warehousing concepts.
• Knowledge of various operating systems such as Linux, Unix, and Windows.
• Ability to write complex queries and perform advanced database operations using SQL.

PREFERRED SKILLS:

• Knowledge of cloud technologies like Azure (Data Factory, Data Bricks), AWS.
• Expertise in modern cloud-native database solutions
• Experience with database migration tools and strategies, including handling zero-downtime migrations and data synchronization
• Proficiency in infrastructure-as-code and automation tools (Terraform) for database deployment and management.
• Ability to design scalable database architectures that support microservices and distributed systems
• Experience with various database patterns (CQRS, event sourcing, sharding strategies)
• Understanding of data modeling for both relational and NoSQL databases
  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.

JOB RESPONSIBILITIES:

• Responsible for designing, building, and managing the organization’s data infrastructure.
• Create the blueprint for how data is collected, stored, processed, and used, ensuring it’s accessible, reliable, and secure.
• Design the structure and systems that allow the organization to effectively manage and use its data, ensuring it’s a valuable asset for decision-making and business operations.
• Create and maintain documentation for database architecture, procedures, and standards.

KEY RESPONSIBILITIES:

• Data Strategy: Develop and implement a comprehensive data strategy aligned with business goals. This involves understanding the organization’s data needs and creating a roadmap for effective data management.
• Data Modeling: Design conceptual, logical, and physical data models that represent the structure and relationships of data within the organization.
• Data Architecture: Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems.
• Data Integration: Design and implement processes for integrating data from various sources, ensuring data consistency and accuracy.
• Data Governance: Establish data governance policies and procedures to ensure data quality, security, and compliance.
• Technology Evaluation: Evaluate and recommend data management technologies and tools to support the organization’s data needs.
• Collaboration: Work closely with stakeholders, including business analysts, data scientists, and IT professionals, to understand data requirements and translate them into technical solutions