• Lead teams of software engineers to improve the lives of Henry Schein One users and their patients through the creation of market-leading solutions • Help recruit, develop, and retain engineers to create a high-performing team • Oversee team leaders and support them in fulfilling their mission and delivery commitments • Enable engineering teams to practice continuous delivery at scale by identifying and removing workflow roadblocks • Inspire, motivate and coach to enable continuous development of team leaders and their teams • Ensure products are secure, compliant and reliable for Henry Schein One customers • Collaborate with senior leaders on the vision and strategy for workstreams and products • Partner closely with Product leadership to influence and understand the strategic commitments of your teams • Build strong cross-functional relationships and influence others to pursue the best possible user experience • Enable process and practice maturity to deliver on global growth opportunities • Positively and collaboratively influence decision-making to improve practices across your teams, department, and stakeholder network • Travel typically up to 10% of time • Office environment with no special physical demands required

• Define the architectural backbone and scalability of Holafly’s entire data ecosystem. • Ensure global operations are fueled by high-quality, real-time insights. • Bridge the gap between infrastructure and analytics, enabling data-driven decision-making. • Design and evolve a world-class data architecture that scales seamlessly with rapid global expansion. • Establish engineering excellence by implementing robust CI/CD practices and version control for all data pipelines. • Ensure data reliability and security across all platforms, supporting mission-critical ML models and business analytics. • Drive strategic technology choices, selecting the best tools and cloud platforms to maintain a competitive edge. • Cultivate high-performing squads, mentoring data engineers to deliver efficient, automated ETL/ELT solutions. • Partner with cross-functional leaders to translate complex business requirements into scalable technical realities.

• Architect and maintain complex marketing databases, datasets, pipelines and Samsara’s Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation and analytics. • Design and implement data infrastructure for AI/ML initiatives, including building pipelines for Generative AI applications, feature stores, and vector database integrations to support predictive modeling and personalization. • Support the execution of expanding conversational BI and Ambient AI within the marketing organization in partnership with the BI team. • Support in the automation of many manual tasks through the use of AI leading to efficiency gains for the whole marketing organization. • Manage critical, high-volume data pipelines to enable our growth initiatives and advanced analytics. Manage the SLAs for those data pipelines and constantly improve efficiency and data quality. • Facilitate sophisticated data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data mart, AI models, and CDP environments. • Autonomously partner directly with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical requirements and scalable data solutions without needing constant supervision. • Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, and Sales Operations teams. • Mentor junior engineers, conduct code reviews, and help define best practices for the data engineering team.

• Develop, maintain, and enhance production ETL pipelines using Informatica (PowerCenter and/or IICS) • Write, optimize, and troubleshoot complex SQL used for transformations, validations, and analytics • Support and enhance data pipelines loading into Snowflake • Debug failed ETL jobs, data discrepancies, and performance issues across ETL and warehouse layers • Collaborate with business and technical stakeholders to understand data requirements and translate them into working solutions • Support data warehouse environments across cloud and hybrid architectures • Maintain technical documentation, mappings, and workflow logic • Participate in SDLC processes including deployments, testing, and version control