Data Architect III, Remote

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health:

The Data Infrastructure team at Komodo designs, builds, and maintains the foundational systems that power our data ecosystem. This includes managing JupyterHub for data exploration, Airflow for orchestrating workflows, Snowflake for scalable data warehousing, and Databricks for advanced analytics and machine learning. The team ensures these tools are reliable, scalable, and secure to meet the needs of our engineers, data scientists, and analysts.

This role exists to architect and optimize Komodo’s data infrastructure to enable seamless data access, processing, and analysis. The Data Architect III will enhance the reliability, performance, and scalability of our systems, ensuring they meet the demands of a rapidly evolving healthcare data landscape while adhering to best practices for security and compliance.

Looking back on your first 12 months at Komodo Health, you will have accomplished…

• Architect and design a standardized access model across all data storage solutions to improve consistency and scalability
• Develop and implement a tagging structure to attribute ownership, sensitivity, and costs effectively across data infrastructure
• Design and deploy automation to reduce manual infrastructure provisioning and maintenance
• Implement optimizations to reduce overall data infrastructure costs by at least 15%
• Document data usage standards, approved tools, and best practices for internal stakeholders
• Test and promote the adoption of new tools for analytics and data storage to improve operational efficiency and innovation

You will accomplish these outcomes through the following responsibilities…

• Architect and oversee the implementation of a unified access control model for all data storage solutions
• Develop tagging structures to classify data by ownership, sensitivity, and cost, ensuring alignment with compliance and reporting requirements
• Create automated solutions for provisioning, scaling, and maintaining data infrastructure
• Collaborate with the Operations and Engineering teams to identify and implement cost-saving measures
• Maintain and evolve documentation on data usage, tools, and infrastructure standards
• Evaluate and introduce innovative tools for data storage and analytics, conducting proofs of concept and recommending adoption paths
• Providing support to customers who encounter issues with db or query performance

What you bring to Komodo Health (required):

• 7+ years of experience in data architecture or data engineering roles, with expertise in Snowflake and Databricks
• Proficiency in designing and maintaining ETL workflows using Airflow or similar orchestration tools
• Strong understanding of access control models and their implementation in data systems
• Experience developing tagging frameworks for data classification, ownership, and cost tracking
• Strong familiarity with cloud environments (AWS preferred) and infrastructure as code (e.g., Terraform)
• Experience deploying and managing containerized data pipelines and analytics applications on Kubernetes, ensuring scalability, high availability, and integration with cloud platforms
• Proven ability to design and implement automation to reduce manual work and improve infrastructure efficiency
• Strong problem-solving and communication skills, with a focus on collaboration and