Data Architect

At Clarus, we are harnessing intelligence to propel pet health towards a brighter, smarter, more connected future. A future where information flows freely across caregivers & care environments, insights are more instant and actionable, and financial decisions are empowered.

For us, that future starts by fundamentally changing how pet insurance operates. We’re engineering systems that decomplexify coverage and facilitate reimbursement, so more pets can get the care they deserve.

Our team of pet industry veterans and passionate pet people come from across the tech and health continuums. Together, we’re openly challenging industry convention in service of creating totally new possibilities. Which is why our culture is built on the values of curiosity, entrepreneurship, humility and fierce collaboration.

Clarus is a pioneering pet health technology company on a mission to transform the future of pet healthcare. We are dynamic entrepreneurs improving pet health by providing trusted and transparent information across the entire pet health landscape. Join us in shaping a smarter, healthier future for pets everywhere.

As we expand, we are looking for a seasoned Data Architect, in the data team, who can hit the ground running by building data models across the operational and analytics data store. This role will be reporting to the Senior Director of Data and Analytics.

Role Overview

This is a hands-on role for an experienced Data Architect with a proven track record of implementing a scalable data lake/medallion architecture and building robust data models in partnership with our product and engineering teams. The role is focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines, manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem.

Key Responsibilities

• Design and implement data architecture solutions using Databricks, Spark, and Azure data services.
• Develop and optimize data models for both operational and analytical systems.
• Ensure data integrity, security, and accessibility across various platforms.
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions.
• Create and maintain data standards, guidelines, and best practices.
• Conduct data quality assessments and implement data governance policies.
• Provide guidance on data storage solutions and ELT/ETL processes.
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases.
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning.
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering.
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team.
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or related field.
• At least 10 years of experience in data architecture and data modeling.
• Proven experience with Databricks, Spark, and Azure data services.
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts.
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing.
• Proficiency with NoSQL and SQL databases.
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC.
• Familiarity with machine learning and AI integration within the data platform context.
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments.
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control).
• Strong understanding of data governance and data quality principles.
• Excellent problem-solving and analytical skills.
• Experience with data modeling tools and techniques.
• Knowledge of cloud-based data solutions and platforms.
• Preference individuals that are located in Boston, NYC, Chicago or Cleveland.

Additional Information

• Must be authorized to work in the U.S.
• Hours are flexible, but availability during core business hours (Eastern) is expected.
• Boston is hybrid - 2 days/week in office
• Located outside Boston will require increase in travel to Boston area - 1-2 times a month.

#clarus

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

• Comprehensive full medical, dental and vision Insurance
• Basic Life Insurance at no cost to the employee
• Company paid short-term and long-term disability
• 12 weeks of 100% paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSA)
• Retirement savings plan
• Personal Paid Time Off
• Paid holidays and company-wide Wellness Day off
• Paid time off to volunteer at nonprofit organizations
• Pet friendly office environment
• Commuter Benefits
• Group Pet Insurance
• On the job training and skills development
• Employee Assistance Program (EAP)

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