• Design, build, and support large-scale backend data pipelines on cloud data platforms (GCP/BigQuery) • Lead development and evolution of semantic layers, including universal / reusable semantic models that support multiple business domains and analytics tools • Design and maintain Analytical Data Store (ADS) data structures optimized for analytics, reporting, and advanced modeling. • Partner with multiple EDW product teams to ensure consistent data modeling, metric definitions, and access patterns • Drive platform reliability, scalability, and operational excellence across data products • Lead query performance tuning and cost optimization efforts (slot usage, partitioning, clustering, aggregates, workload management) • Support and modernize data orchestration frameworks • Implement and enforce data quality, validation, and monitoring frameworks • Perform deep root-cause analysis of data issues, pipeline failures, and performance regressions • Contribute to technical roadmaps, refactoring strategies, and platform modernization initiatives • Mentor and grow other engineers through design reviews, code reviews, and technical guidance • Create and maintain architecture diagrams, standards, and technical documentation

• Design and own scalable, secure data architectures and pipelines across our platforms (Azure Databricks, Microsoft Fabric, AKS, Power BI). • Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, the Data & AI Governance team, and the Cloud Infrastructure team , as well as business stakeholders, to align architecture with business needs. • Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms. • Onboard and enable different types of users (data engineers, analysts, data scientists, power users) on the platform with clear standards, training material and recommended ways of working. • Mentor and provide architectural oversight to use-case teams, engineers and architects, ensuring solutions fit the overall data and platform strategy. • Drive innovation by identifying opportunities to leverage new tools and services in the Microsoft ecosystem and continuously improve our data platform and pipelines. • Ensure data quality, compliance, and observability across all data handling and data product lifecycles.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is remote in the United States or can be hybrid in our American Fork, UT office. You will be a key contributor to our Data Platform team, driving impactful solutions to meet business and product goals. You will lead the development and optimization of our Data Platform APIs, ensuring seamless integration, performance, and scalability. By collaborating closely with cross-functional teams and providing architectural guidance, you will help shape our data infrastructure to support evolving healthcare and dental data needs, empowering data-driven decision-making across the organization. What You Will Do - Data Platform Development: Lead the design, development, and maintenance of the Data Platform APIs, ensuring efficient and scalable solutions. - Pipeline Optimization: Continuously monitor, optimize, and improve data pipelines to ensure reliability, performance, and scalability. - Collaboration & Best Practices: Work closely with programming and product teams, ensuring that best practices are followed across the development lifecycle. - Tool Management: Oversee development tools, including their maintenance, licensing, and team training to ensure they are effectively used and up-to-date. - Mentorship: Guide and mentor junior engineers on best practices across multiple programming languages, helping to upskill the team and foster a collaborative environment. - Documentation & Support: Assist in creating clear user documentation and offer technical support by providing accurate, concise information about software functionality. - Technical Presentations: Communicate technical concepts effectively to senior management, presenting complex ideas in a clear, understandable manner. - SDLC Participation: Actively engage in all relevant Software Development Lifecycle (SDLC) meetings, ensuring timely and seamless product delivery. Travel/Physical Demands - Travel typically less than 10%. - Office environment with no special physical demands required. Technologies We Use - Languages & Frameworks: Python, Java, Spring, JavaScript, Node.JS. - Big Data: Spark, Flink, Notebooks (Jupyter and Zeppelin). - Data Streaming: Kafka, Avro, Parquet. - Databases: PostgreSQL, SQL databases. - Containerization: Docker. Qualifications - 6+ years of engineering experience with a focus on the HS1 tech stack, particularly in data engineering and data-streaming. - API Expertise: Broad understanding of API concepts and best practices. - Healthcare Data Experience: Familiarity with Electronic Health Record (EHR) formats, including X12, HL7, FHIR, and industry-specific models (Dental, Orthodontic, and Dental Support Organization data models). - Excellent knowledge of database schema modeling tools. - Database Knowledge: Understanding of database schema modeling tools and enterprise application design patterns. - Technical Design & Implementation: Ability to derive and design technical specifications from product requirements and implement code based on those specifications. - Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex concepts to technical and non-technical teams. - Problem-Solving Skills: Excellent analytical, problem-solving, and organizational abilities. Nice to Haves - Bachelor’s Degree in Computer Science or a related field. - Experience with API gateways such as Apigee. Salary Information The posted range for this position is $115,000 - $150,000, which is the expected starting salary range for an employee who is new to the role to fully proficient in the role. Many factors go into determining employee pay within the posted range including prior experience, current skills, location/labor market, internal equity, etc. This position is eligible for a bonus target not reflected in the range. Benefits - A great place to work with fantastic people. - A career in the healthcare technology industry, with the ability to grow and realize your full potential. - Competitive compensation. - Excellent benefits package – Medical, Dental and Vision Coverage, 401K Plan with Company Match, Paid Time Off (PTO), Sick Leave (if applicable), Paid Parental Leave, Short Term Disability, Income Protection, Work Life Assistance Program, Health Savings and Flexible Spending Accounts, Education Benefits, Worldwide Scholarship Program, Volunteer Opportunities, and more. Company Description Henry Schein One is the global leader in dental management, analytics, communication, and marketing software. Our company’s products and services work together as one simple solution to provide users with a seamless and integrated experience. Our company thrives because of our people. We believe in supportive, diverse, and inclusive workforce, inclusive environments, professional development opportunities, and competitive compensation packages. We value innovation, teamwork, and encourage work-life balance. In 2022, Henry Schein One was named one of Best Companies to Work for in Utah. Henry Schein, Inc. is an Equal Employment Opportunity Employer and does not discriminate against applicants or employees on the basis of race, color, religion, creed, national origin, ancestry, disability that can be reasonably accommodated without undue hardship, sex, sexual orientation, gender identity, age, citizenship, marital or veteran status, or any other legally protected status. Unfortunately, Henry Schein One is not currently hiring individuals residing in Alaska, Delaware, Hawaii, Louisiana, Nebraska, North Dakota, Rhode Island, South Dakota, Vermont, West Virginia, Washington DC, or Puerto Rico and other US Territories.

• Design, develop, and manage graph data models, with a strong focus on Neo4j • Create and optimize data schemas tailored for machine learning and analytics use cases • Design and implement data pipelines involving: Data ingestion (batch and streaming), ETL processes, Workflow orchestration on AWS • Build, deploy, and maintain REST APIs for data access and integration • Integrate solutions with Microsoft Teams for notifications, workflows, or insights sharing • Collaborate with SAP functional and technical teams to support security, access, and analytics use cases • Ensure data quality, performance, and scalability across platforms