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Principal Data Architect

Salary

$0.1226k - $0.1751k

Min Experience

10 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Job Title: Principal Data Architect Overview: 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. Required Qualifications: 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. Preferred Qualifications: 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.

About the company

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.

Skills

sql
python
kafka
confluent
debezium
mongodb
dbt
snowflake