Manager, Data Engineering

Henry Schein One is a global dental technology company focused on improving dental practice management and patient care. The Data Engineering Manager will lead technical strategy and execution for its Patient Experience and Analytics Solution while mentoring engineering teams and supporting large-scale data platforms, secure products, and continuous delivery.

Responsibilities:

• Lead and mentor engineering teams while remaining hands-on in driving technical execution and the delivery of market-leading solutions that improve the lives of Henry Schein One users and their patients
• Recruit, develop, and retain high-performing engineers and engineering leaders, fostering a culture of growth, accountability, and continuous improvement
• Coach and support team leaders to successfully deliver on team objectives, commitments, and strategic priorities
• Identify and remove delivery roadblocks, enabling teams to practice continuous delivery and scale effectively
• Partner with teams to ensure products are secure, compliant, reliable, and operationally sound
• Collaborate with Product and senior leadership to shape product vision, strategy, and execution plans
• Build strong cross-functional relationships and influence stakeholders to drive the best possible customer and user experience
• Advance engineering processes, practices, and organizational maturity to support continued growth and scalability
• Influence technical and operational decisions across teams, helping drive consistency, innovation, and engineering excellence

Requirements:

• We're seeking a leader with experience building and operating large-scale data platforms, including real-time streaming (Kafka), batch ETL, data warehousing, CDC patterns, and high-volume analytical environments
• This position is remote within the United States with up to 10% travel as needed
• 7+ years of progressive software/database and data solution development experience
• Proven ability to balance hands-on technical delivery with people leadership, including mentoring, coaching, developing talent, managing performance, and leading teams in a player-coach capacity
• Experience designing and supporting large-scale data pipelines, integrations, APIs, and high-volume data processing environments
• Solid understanding of data architecture, data movement patterns, and scalable system design
• Excellent communication, collaboration, and stakeholder management skills
• Self-motivated, proactive, and adaptable with a sense of ownership and accountability
• Demonstrates empathy, authenticity, curiosity, and courage in leadership and decision-making
• Bachelor's Degree in Computer Science, Engineering, or a related field
• AWS Certified Data Engineer