Staff Data Architect, Claims Data

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

Komodo Health leverages the latest data engineering technology to tackle some of healthcare’s biggest challenges by transforming extraordinary amounts of data into rich and meaningful insights. As a Staff Data Architect on the Data Foundations team, you will help drive the development of Komodo Health’s state-of-the-art data products, and unlock the potential of our Healthcare Data Map.  Your work will be instrumental in designing and implementing data management systems, enhancing the data platform stack, contributing to different engineering teams’ maturity, and partnering with Data Product to explore, prototype, and bring data products to market

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

• Managed, coordinated, and delivered on key projects that advance our ability to bring new Data Services to market
• Developed a deep understanding of healthcare-specific challenges and introduced innovative data systems and software techniques that address these
• Partnered with Data Product and Engineering teams to develop technical requirements, project roadmaps, and delivery of robust solutions
• Actively collaborated with team members to mentor and up-level 

These are the essential job duties you will be responsible for …

• Partnering with Engineering team members, Product Managers, Data Scientists, and customer-facing teams to understand complex health data use cases and business logic
• Support and influence the design and building of our data platform architecture, pipelines, analytics, and services underlying our platform 
• Architecting and developing data models that support data product requirements and enable engineers to scale pipelines
• Act as a key enabler and contributor to the different engineering teams in enhancing their maturity from data ingestion through product delivery

What you bring to Komodo Health (required):

• Deep expertise in U.S. healthcare claims data is strongly  preferred but other clinical data experience is also acceptable 
• Extensive experience building scalable, best-in-class solutions that combine theoretical rigor with implementation efficiency
• Demonstrated record of thought leadership and solution design that spans from high-level conceptual frameworks to detailed execution plans
• Strong ability to communicate clearly and openly with both technical and non-technical teams
• Knowledge of large-scale data and computational technologies and data modeling techniques
• Experience with SQL and query design on large, complex datasets 
• Ability to use a variety of relational, NoSQL, Postgres, and/or MPP databases (ideally Snowflake on AWS) 
• Lead data modeling, schema design, and data storage best practices

Additional skills and experience we’d prioritize (nice to have)…

• Clinical data experience is a strong plus
• Good understanding of AI/ML concepts and use cases.
• Experience with building and deploying applications as containers using Docker and Kubernetes

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifi