Lead Data Architect

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🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🧬 Biotechnology

Healthcare Insurance • Pharmaceuticals • Biotechnology

McKesson is a diversified healthcare leader specializing in pharmaceutical distribution, medical supplies, and healthcare services. Their solutions facilitate patients' access to life-changing therapies, support efficient operations for pharmacies, health systems, and clinics, and address critical issues such as drug shortages through a resilient supply chain. McKesson provides comprehensive services such as pharmacy management software, consulting, and technology solutions for specialty practices, focusing on improving health outcomes and advancing the pharmaceutical industry. They work closely with biopharma companies to enhance medication access, adherence, and commercialization while supporting oncology and biopharma practices through data-driven insights and real-world evidence.

📋 Description

• 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. • 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 that represent the structure and relationships of data within the organization. • Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems. • Develop and implement data mapping rules to transform data from source systems to target systems, ensuring data accuracy and consistency. • Design and implement processes for integrating data from various sources, ensuring data consistency and accuracy. • Establish data governance policies and procedures to ensure data quality, security, and HIPPA compliance across all data systems and platforms. • Evaluate and recommend data management technologies and tools to support the organization's data needs. • Identify and resolve data-related issues, ensuring data integrity and reliability. • Design and implement architectures that seamlessly integrate AI models and algorithms with existing data infrastructures.

🎯 Requirements

• Minimum of 7 years of experience in enterprise data architecture • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience. • Minimum 10 years of experience in database engineering/management required. • Knowledge of software development methodologies (e.g., Agile, DevOps, SDLC, CI/CD, GitHub). • 7+ years' experience working with data sources (e.g. APIs) and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases. • Knowledge of cloud technologies like Azure (Data Factory, Databricks), AWS. • 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.

🏖️ Benefits

• Comprehensive benefits to support physical, mental, and financial well-being