Lead Data Architect

YOUR TEAM 

Nuna’s product offerings enable delivery of value-based care contracts, at scale across the United States. Value-based healthcare aims to shift reimbursement from fee-for-service to fee-for-value where providers are incentivized to deliver higher quality care to their patients at a lower cost.You will work with the Value Platform teams contributing healthcare data modeling expertise for delivering a scalable platform to accurately and efficiently implement complex value-based care programs. You’ll need to be able to look at a reporting dashboard or mock and back into the facts and dimensions that we’d need to build to power it. From the other end, you need to work with actuaries and analysts, understand the domain and context of the metrics being produced, and build and populate schemas that can flexibly power our platform. 

YOUR OPPORTUNITIES

In this role, you will:

• Own the design and evolution of our data models
• Improve performance, usability, and total cost to run our systems
• Drive adoption and trust of Nuna’s data and analytics among our users
• Build products that change the dynamics and incentives of the healthcare industry, changing a zero-sum game of competition between payers and providers into patient-centered collaboration
• Solve complex scale challenges surrounding data access and performance
• Form deep partnerships with a cross-functional team of analysts, engineers and product managers
• Manage our high stakes production environment, ensuring high availability/low latency and protecting our sensitive data with rigorous security
• Play a significant leadership role to influence Nuna’s product strategy
• Work as part of a team, not in a silo - at Nuna, we rise by lifting others!

QUALIFICATIONSRequired Qualifications

• 8+ years of experience designing and building data models and warehouses
• In-depth knowledge of healthcare data and related standards, including HL7 FHIR
• Technical leadership and interpersonal skills to motivate engineers and cross functional teams in a startup environment
• A deep understanding of star schemas and related data architectures
• Familiarity with database technologies including SQL, NoSQL, and data warehousing
• Experience with modern cloud-based, distributed data warehouse systems (Redshift, Snowflake, etc.)
• Ability to write performant, idempotent data transformation code
• Experience optimizing queries and schemas
• Experience with backend development - schemas, APIs, infra and tooling, etc. - for data intensive applications
• Experience managing production services and designing smooth deployment processes, ideally in AWS
• Strong understanding of data modeling, data integration, and data governance principles

Preferred Qualifications

• Experience at a startup / tech company
• Experience with BI tools (Tableau, PowerBI, Sisense)
• Python scripting/development
• Experience with distributed computing frameworks, such as Spark
• Familiarity with orchestration tools like Airflow or Prefect
• An interest in cloud software systems

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, paid time off, including vacation and sick leave. The expected salary range for this position is $165,000 to $230,000. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.

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