Lead Data Architect

🕒 il y a 1 mois

🌐 États-Unis, Royaume-Uni, +3 autres pays – Distant

🇺🇸 États-Unis – Télétravail 🇬🇧 Royaume-Uni – Télétravail 🇮🇪 Irlande – Télétravail 🇳🇱 Pays-Bas – Télétravail 🇩🇪 Allemagne – Télétravail

💵 $181 026 - $259 094 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Henry Schein

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1932

🏥 Santé

🍽️ Alimentation et boissons

🏭 Fabrication

Healthcare • Food & Beverage • Manufacturing

Henry Schein, Inc. (Nasdaq : HSIC) est une entreprise de solutions pour les professionnels de la santé, soutenue par un réseau de personnes et de technologie. Avec plus de 25 000 membres de l'équipe Schein à travers le monde, le réseau de conseillers de confiance de l'entreprise fournit à plus d'un million de clients dans le monde entier plus de 300 solutions précieuses qui aident à améliorer le succès opérationnel et les résultats cliniques. Nos solutions commerciales, cliniques, technologiques et de chaîne d'approvisionnement aident les praticiens dentaires et médicaux basés en cabinet à travailler plus efficacement pour qu'ils puissent fournir des soins de qualité de manière plus efficace. Ces solutions soutiennent également les laboratoires dentaires, les cliniques de santé gouvernementales et institutionnelles, ainsi que d'autres sites de soins alternatifs.

Description

• Define and implement a scalable, enterprise-wide data architecture aligned with business and technology goals • Develop a data strategy roadmap, ensuring long-term sustainability, scalability, and efficiency • Partner with executive leadership, product teams, and engineering to ensure data initiatives drive business value • Establish enterprise data governance, security, and compliance frameworks leveraging tools like Collibra or Alation • Oversee the design and evolution of data lakes, data warehouses, and cloud-based analytics platforms using Databricks, Snowflake, BigQuery, or Redshift • Lead the adoption of modern data architecture patterns, including event-driven architectures, real-time data streaming (Kafka, Pulsar), and AI-driven analytics • Provide guidance on database optimization, indexing, partitioning, and storage strategies for tools like PostgreSQL, MySQL, and NoSQL solutions like MongoDB or Cassandra • Evaluate emerging technologies, making recommendations for tools and platforms that enhance data capabilities • Direct ETL/ELT strategies, ensuring seamless data flow across systems with Python, Apache Airflow, dbt, or Informatica • Architect cloud-based solutions (AWS, Azure, or GCP) using services such as AWS Glue, Azure Synapse, and Google Cloud Dataflow to support analytics, AI, and operational use cases • Ensure API-first design for data integration using GraphQL, RESTful APIs, or event-driven architectures (Kafka, AWS Kinesis, Pub/Sub) • Define and oversee data quality, lineage, and cataloging efforts using Great Expectations, Monte Carlo, or DataHub • Develop policies for data privacy, access control, and encryption, ensuring compliance with GDPR, CCPA, HIPAA, or other relevant regulations • Implement enterprise-wide metadata management and data lineage tracking using Collibra, Alation, or Data Catalog solutions • Drive best practices for data security and compliance audits, leveraging IAM tools and cloud security solutions • Lead a team of data architects, engineers, and analysts, mentoring them on best practices • Act as a liaison between business and technical teams, translating business needs into scalable data solutions • Champion a culture of innovation, ensuring the data team is adopting cutting-edge methodologies • Conduct data architecture reviews, ensuring alignment with organizational standards

🎯 Exigences

• 10+ years of experience in data architecture, data engineering, or related fields • Bachelor’s degree (Master’s preferred) in Computer Science, Applied Mathematics, Statistics, Machine Learning, or a closely related field (or foreign equivalent) • Proven track record in designing large-scale, enterprise data architectures • Expertise in SQL, NoSQL, and distributed database technologies such as Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, MongoDB, and Cassandra • Strong experience with cloud-based data platforms (AWS, Azure, GCP) and services like AWS Glue, Azure Data Factory, and Google Dataflow • Deep understanding of data modeling, ETL/ELT processes, and data pipeline optimization using dbt, Apache Airflow, Informatica, or Talend • Experience with real-time streaming technologies (Kafka, Spark Streaming, Apache Flink, AWS Kinesis) • Strong knowledge of data security, governance, and compliance frameworks • Excellent verbal and written communication skills and ability to resolve disputes effectively and efficiently • Outstanding presentation and public speaking skills • Mastery independent decision making, analysis and problem-solving skills • Ability to quickly understand and assess complex projects, systems and ecosystems and identify relevant relationships and connections between them • Mastery planning and organizational skills and techniques • Communicate effectively with senior management and key stakeholders • Ability to influence, build relationships, understand organizational complexities, manage conflict and navigate politics • Familiarity with the healthcare data domain with previous experience working with healthcare datasets is a plus • Strong Python programming skills, with expertise in data manipulation and pipeline development using Pandas, PySpark, NumPy, and SQLAlchemy • Experience with AI/ML-driven analytics architectures and MLOps frameworks like MLflow or SageMaker • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation) • Familiarity with Graph databases and knowledge graphs (Neo4j, Amazon Neptune) • Certifications in cloud data services (AWS Certified Data Analytics, Google Professional Data Engineer, Databricks Certified Data Engineer)

🏖️ Avantages

• Medical, Dental and Vision Coverage • 401K Plan with Company Match • PTO • Paid Parental Leave • Income Protection • Work Life Assistance Program • Flexible Spending Accounts • Educational Benefits • Worldwide Scholarship Program • Volunteer Opportunities