Principal Data Architect (No H1 transfer or F1/OPT visa will be considered)
Job title: Principal Data Architect (No H1 transfer or F1/OPT visa will be considered) in Ohio at Covetrus
Company: Covetrus
Job description: Job Title: Principal Data ArchitectOverview:Covetrus is a global animal-health technology and services company dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We’re bringing together products, services, and technology into a single platform that connects our customers to the solutions and insights they need to work best. Our passion for the well-being of animals and those who care for them drives us to advance the world of veterinary medicine. We are seeking a Principal Data Architect to lead the design, implementation, and evolution of our cloud-based data platform with a strong focus on data modeling, integration, and scalability.This role blends strategic architecture with hands-on execution, enabling real-time, secure data access across internal systems and external client platforms. You’ll drive the foundation for advanced analytics, operational dashboards, and intelligent veterinary services using Snowflake, dbt, Kafka/Confluent, Debezium, Atlas MongoDB, Python, and Runbook Automation.Key Responsibilities:
Expected salary: $122600 - 175100 per year
Location: Ohio
Apply for the job now! [ad_2] Apply for this job
Company: Covetrus
Job description: Job Title: Principal Data ArchitectOverview:Covetrus is a global animal-health technology and services company dedicated to empowering veterinary practice partners to drive improved health and financial outcomes. We’re bringing together products, services, and technology into a single platform that connects our customers to the solutions and insights they need to work best. Our passion for the well-being of animals and those who care for them drives us to advance the world of veterinary medicine. We are seeking a Principal Data Architect to lead the design, implementation, and evolution of our cloud-based data platform with a strong focus on data modeling, integration, and scalability.This role blends strategic architecture with hands-on execution, enabling real-time, secure data access across internal systems and external client platforms. You’ll drive the foundation for advanced analytics, operational dashboards, and intelligent veterinary services using Snowflake, dbt, Kafka/Confluent, Debezium, Atlas MongoDB, Python, and Runbook Automation.Key Responsibilities:
- Lead the design and implementation of scalable, extensible data models that support core veterinary business domains including appointments, EMRs, inventory, billing, customer engagement, and pet health tracking.
- Develop and maintain enterprise data models and dimensional models in Snowflake and dbt, ensuring performance, reusability, and semantic clarity.
- Architect and manage data pipelines using Kafka (Confluent) and Debezium for real-time ingestion and change data capture (CDC) from clinic systems and partner platforms.
- Integrate structured and semi-structured data from MongoDB Atlas into Snowflake and other analytical stores while applying best practices for modeling JSON document structures.
- Build and operationalize data workflows using Python and Runbook Automation frameworks to support continuous, reliable data movement across systems.
- Establish and enforce data modeling standards, naming conventions, and documentation practices to ensure consistency across the platform.
- Collaborate with product managers, software engineers, BI teams, and veterinary domain experts to translate business concepts into normalized and analytical data structures.
- Maintain architecture diagrams, lineage maps, and design documentation in Confluence to support transparency and cross-team understanding.
- Mentor and coach engineers on best practices in data modeling, integration, and performance optimization.
- 10+ years of experience in data architecture and data engineering, with demonstrated expertise in conceptual, logical, and physical data modeling.
- Mastery of modern data warehousing tools including Snowflake, dbt, and SQL.
- Proven experience designing data models for transactional, operational, and analytical systems.
- Proficient in Kafka and Confluent, including designing and consuming real-time streaming pipelines.
- Hands-on experience with Debezium for CDC across relational databases.
- Strong background in integrating data from MongoDB Atlas and modeling semi-structured documents.
- Proficiency in Python for data engineering and workflow automation.
- Skilled in documenting and communicating data structures using tools like Confluence and ER modeling platforms.
- Deep understanding of data governance, data quality, and secure handling of sensitive veterinary and customer data.
- Background in healthcare or veterinary systems, including EMRs or practice management systems.
- Knowledge of containerization (Docker/Kubernetes) for data services deployment.
- Exposure to modern data architecture frameworks like Data Vault or Data Mesh is a plus.
- Drive innovation in animal healthcare through clean, accessible, and intelligently structured data.
- Work with a passionate, collaborative team in a remote-friendly and flexible environment.
- Leverage a modern data stack and contribute directly to real-world improvements in veterinary care and operations.
- Extensive computer work
- Occasional site visits to the Covetrus Portland, ME office
- Other travel as necessary to accomplish your objectives
- 401k savings & company match
- Paid time off
- Paid holidays
- Maternity leave
- Parental leave
- Military leave
- Other leaves of absence
- Health, dental, and vision benefits
- Health savings accounts
- Flexible spending accounts
- Life & disability benefits
- Identity theft protection
- Pet insurance
- Certain positions may include eligibility for a short term incentive plan
Expected salary: $122600 - 175100 per year
Location: Ohio
Apply for the job now! [ad_2] Apply for this job