Principal Data Architect

Covetrus; United States; On-site; USD 140,000 - 170,000; Full time

Job summary

Covetrus seeks a Principal Data Architect to lead the development of a cloud-based data platform. This role involves strategic architecture combined with hands-on execution to enhance data access and build advanced analytics solutions. Candidates should have extensive experience in data modeling and data engineering to drive innovation in veterinary healthcare technology.

Benefits

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Qualifications

• Must have 10+ years of data architecture and engineering experience.
• Deep understanding of Snowflake, Kafka, and data modeling is essential.
• Experience with MongoDB Atlas and Python for data workflows.

Responsibilities

• Lead the design and implementation of scalable data models for veterinary business.
• Develop and manage data pipelines, ensuring performance and reusability.
• Mentor engineers on best practices in data modeling and performance optimization.

Skills

Data Modeling

Data Integration

Cloud Architecture

Python

SQL

Data Governance

Kafka

Education

10+ years in Data Architecture

Mastery in Snowflake and dbt

Job description

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Join to apply for the Principal Data Architect role at Covetrus

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This range is provided by Covetrus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $170,000.00/yr

Direct message the job poster from Covetrus

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.

Why Join Us:

• 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.

PHYSICAL DEMANDS/WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Occasional site visits to the Covetrus Portland, ME office
• Other travel as necessary to accomplish your objectives

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Veterinary Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

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