Lead Data Architect

Emploi pas sur LinkedIn

🕒 il y a 21 jours

🎸 Tennessee – Distant

info

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of McKesson

McKesson

10 000+ employés

Fondée en 1833

💼 Conseil

📦 Logistique

🏥 Santé

Consulting • Logistics • Healthcare

McKesson est un leader diversifié dans le domaine de la santé, spécialisé dans la distribution pharmaceutique, les fournitures médicales et les services de santé. Leurs solutions facilitent l'accès des patients à des thérapies révolutionnaires, soutiennent des opérations efficaces pour les pharmacies, systèmes de santé et cliniques, et répondent à des problèmes critiques tels que les pénuries de médicaments grâce à une chaîne d'approvisionnement résiliente. McKesson propose des services complets tels que des logiciels de gestion pour pharmacies, des conseils et des solutions technologiques pour les pratiques spécialisées, en mettant l'accent sur l'amélioration des résultats de santé et le progrès de l'industrie pharmaceutique. Ils travaillent en étroite collaboration avec des entreprises biopharmaceutiques pour améliorer l'accès aux médicaments, l'adhésion et la commercialisation tout en soutenant les pratiques en oncologie et biopharma grâce à des analyses basées sur des données et des preuves du monde réel.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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

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