Lead Data Architect

🕒 July 16

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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McKesson

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1833

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

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

• Design, build, and manage the organization's data infrastructure • Create blueprints for how data is collected, stored, processed, and used • Design structures and systems for effective data management and business operations • 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 • Create and maintain the overall data architecture framework, including databases, data warehouses, data lakes, and other data systems • Develop and implement data mapping rules between source and target systems • Design and implement data integration processes from various sources • Establish data governance policies and procedures for data quality, security, and HIPPA compliance • Evaluate and recommend data management technologies and tools • Identify and resolve data-related issues to ensure data integrity and reliability • Design and implement architectures integrating AI models and algorithms with cloud-native and legacy systems • Collaborate with business analysts, data scientists, and IT professionals to translate data requirements into technical solutions • Influence project decisions regarding data strategy, quality, architecture, and management best practices

🎯 Requirements

• Minimum of 7 years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, evaluation, documentation, data modeling, design, development, model validation, and data integration in modern data platforms such as Azure, Databricks, and Snowflake • 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 such as Agile, DevOps, SDLC, CI/CD, and GitHub • 7+ years' experience working with data sources such as APIs and databases including Oracle, PostgreSQL, SQL Server, and cloud databases • Knowledge of cloud technologies including Azure Data Factory, Databricks, and AWS • Strong knowledge of industry best practices and code coverage • Strong knowledge of database concepts, data modeling techniques, system performance analysis and tuning, and data warehousing concepts • Knowledge of Linux, Unix, and Windows operating systems • Ability to write complex queries and perform advanced database operations using SQL • Expertise in modern cloud-native database solutions • Experience with database migration tools and strategies, including zero-downtime migrations and data synchronization • Proficiency in infrastructure-as-code and automation tools such as Terraform • Ability to design scalable database architectures supporting microservices and distributed systems • Experience with database patterns including CQRS, event sourcing, and sharding strategies • Understanding of data modeling for relational and NoSQL databases

🏖️ Benefits

• Comprehensive Total Rewards package supporting physical, mental, and financial well-being • Competitive compensation package • Annual bonus or long-term incentive opportunities may be offered • Relocation assistance is not available • Visa sponsorship is not available