Lead Data Architect

Overview

It’s More Than a Career, It’s a Mission. SCRI, a subsidiary of McKesson, is a leading oncology research organization focused on advancing therapies through community-based clinical trials. SCRI brings together researchers, physicians, and caregivers to transform care and personalize treatment. We are seeking a Lead Data Architect to drive our database strategy across all products and ensure robust, scalable data infrastructure that supports clinical research and patient care.

• Design, build, and manage the organization’s data infrastructure; create and maintain documentation for database architecture, procedures, and standards.
• Develop and implement a comprehensive data strategy aligned with business goals.
• Design conceptual, logical, and physical data models; manage data architecture including databases, data warehouses, and data lakes.
• Develop data mapping rules to transform data from source to target systems ensuring accuracy and consistency.
• Design and implement data integration processes; ensure data quality, security, and accessibility.
• Establish data governance policies and procedures to ensure data quality, security, and HIPAA compliance.
• Evaluate and recommend data management technologies; advise on AI model integration with data infrastructures (cloud-native and legacy systems).
• Collaborate with business analysts, data scientists, and IT professionals to translate data requirements into technical solutions.
• Influence projects related to data strategy, data quality, data architecture, and data management best practices.

• Minimum of 7 years of experience in enterprise data architecture, data requirements collection, data modeling, design, development, model validation, and data integration in modern data platforms (e.g., Azure, Databricks, Snowflake).
• Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• Critical
  
  Skills:
  
  10+ years in database engineering/management; strong knowledge of software development methodologies (Agile, Dev Ops, SDLC, CI/CD, Git Hub); 7+ years working with data sources and databases (Oracle, PostgreSQL, SQL Server, cloud databases); cloud technologies (Azure, AWS); data warehousing concepts; SQL proficiency; experience with Linux/Unix/Windows.

• Experience with modern cloud-native database solutions; database migration tools and zero-downtime strategies; infrastructure-as-code (Terraform) for database deployment.
• Ability to design scalable architectures for microservices and distributed systems.
• Experience with patterns such as CQRS, event sourcing, and sharding; data modeling for relational and No
  
  SQL databases.

SCRI is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients, SCRI has formed a joint venture with US Oncology Research and has conducted more than 850 first-in-human clinical trials since inception, contributing to many cancer therapies approved by the FDA in the past decade. SCRI’s network includes over 1,300 physicians enrolling patients at more than 200 locations in 20+ states.

We offer a Total Rewards package with comprehensive benefits addressing physical, mental, and financial well-being. Information regarding benefits through McKesson is available through our career site. Compensation is determined by factors including performance, experience, skills, equity, market conditions, and geography. In addition to base pay, annual bonuses or long-term incentive opportunities may be offered.

SCRI is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.