Lead Solution Architect

🕒 July 16

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 65%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 119 days.
• Jobs at this company usually fill in 21 days.
• Reposted 3 times.
• No salary listed.

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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

• Drive the organization's database strategy across all products • Design, build, and manage the organization's data infrastructure • Create blueprints for how data is collected, stored, processed, and used • Design database structures and systems for data management and business operations • Create and maintain database architecture, procedures, and standards documentation • 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 • 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 • 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, data quality, data architecture, and data 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 • Bachelor’s Degree in Computer Science, Information Systems, Engineering, or equivalent experience • Minimum 10 years of experience in database engineering/management • Knowledge of Agile, DevOps, SDLC, CI/CD, and GitHub • 7+ years' experience working with APIs and databases such as Oracle, PostgreSQL, SQL Server, and cloud databases • Knowledge of Azure, including Data Factory and Databricks, and AWS • Strong knowledge of industry best practices and code coverage • Strong knowledge of database concepts, data modeling, system performance analysis and tuning, and data warehousing • Knowledge of Linux, Unix, and Windows • Ability to write complex SQL queries and perform advanced database operations • Expertise in modern cloud-native database solutions • Experience with database migration tools and zero-downtime migrations/data synchronization • Proficiency in Terraform and infrastructure-as-code/automation tools • Ability to design scalable database architectures supporting microservices and distributed systems • Experience with CQRS, event sourcing, and sharding strategies • Understanding of relational and NoSQL data modeling

🏖️ Benefits

• Comprehensive Total Rewards package supporting physical, mental, and financial well-being • Competitive compensation package • Potential annual bonus • Potential long-term incentive opportunities • Equity may be included in compensation • Relocation assistance is not available • Visa sponsorship is not available

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