Lead Data Architect

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $181k - $259.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Henry Schein

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

⚕️ Healthcare Insurance

💊 Pharmaceuticals

🤝 B2B

Healthcare Insurance • Pharmaceuticals • B2B

Henry Schein is a global company dedicated to servicing a range of medical and dental providers. It offers a comprehensive portfolio of products and solutions, including practice management software, large equipment, and technology services. Founded in 1932, Henry Schein has established itself as a leader in healthcare products and services, with a commitment to improving health and increasing access to care through strategic growth and innovation across its global operations.

📋 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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