The Opportunity at Komodo Health

Komodo aims to build the best healthcare data analytics platform in the industry.  As we are maturing, we are investing in our core data assets, building on our strengths in medical and prescription claims, to create the best healthcare data management system to support self-service exploration and advanced analytics. 

The Staff Data Architect will act as a key enabler and contributor to the central data modeling (CDO) team, bringing experience and best practices in modern data stack for healthcare data ingestion, preparation & analytics. 

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

• Supported the design, development, and deployment in the production of end-to-end data flows, including computing and storage of big healthcare datasets in a multi-tenant environment
• Advised on technologies, scouted and identified technologies that can support our heavy data processing constraints for cleansing & analytics
• Developed data pipelines in a modern data stack environment
• Interacted with the product teams in order to refine technical assumptions
• Enabled and mentored engineering teams in adopting the best practices and maturing their techniques to develop and operate SaaS data pipelines

What you bring to Komodo Health:

• Creative spirit that develops and seeks ideas
• Demonstrated capabilities to communicate to business and technical stakeholders and work across departments
• Experience working with US health care data required
• Proficiency in data processing-friendly languages (SQL, Python, Scala)
• Expertise in Big Data environments (Snowflake, Spark, Databricks, Hive, Trino, AWS, etc.)
• Strong understanding of modern data modeling and data architecture practices, including Data Governance, Data Quality, Data Ops
• Deep knowledge of change data capture and event-driven architectures
• Proficiency in cloud-native orchestrators (Serverless, Kubernetes, Docker...) is a plus
• Experience in working within a distributed & international agile team environment

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