Principal Data Architect

InterWell Health; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

A forward-thinking company is seeking a Principal Data Architect to revolutionize healthcare data management. In this pivotal role, you will design and optimize data architectures that enhance the ingestion, processing, and analysis of healthcare data. Your expertise in healthcare data standards and advanced analytics will drive value-based care initiatives. Collaborate with cross-functional teams to create robust data solutions that meet business needs while ensuring compliance with critical regulations. Join us in our mission to help patients live their best lives by leveraging your data expertise in a dynamic, impactful environment.

Qualifications

• Experience in data architecture and engineering in healthcare or life sciences.
• Proficiency in SQL, Python, and cloud platforms like Azure.

Responsibilities

• Design and implement scalable data models for healthcare data.
• Ensure seamless data integration between healthcare systems.

Skills

Data Architecture

Data Engineering

SQL

Python

ETL/ELT Processes

Cloud Platforms (Azure, AWS, GCP)

Healthcare Data Standards (HL7, FHIR, OMOP)

Problem-Solving Skills

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in Data Science or related field

Tools

Azure Data Services

Microsoft Fabric

Databricks

CI/CD Pipelines

Git

Job description

Interwell Health is a kidney care management company that partners with physicians on its mission to reimagine healthcare—with the expertise, scale, compassion, and vision to set the standard for the industry and help patients live their best lives. We are on a mission to help people and we know the work we do changes their lives. If there is a better way, we will create it. So, if our mission speaks to you, join us!

We are hiring a Principal Data Architect who will play a pivotal role in designing, implementing, and optimizing our data architecture to support the ingestion, processing, and analysis of healthcare data. This role requires a deep understanding of healthcare data standards, data integration, and advanced analytics to drive value-based care initiatives.

The ideal candidate has specific experience working with data in healthcare, health-tech or the life sciences commercial space.

What you'll do:

• Create scalable and efficient data models and architectures to support the ingestion and processing of healthcare data from payers and providers.
• Architect and implement robust data integration solutions to ensure seamless data flow between various healthcare systems and platforms; internally and externally.
• Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs.
• Implement data modelling, warehousing, and optimization best practices to enhance performance.
• Continuously monitor and optimize data architecture for performance, scalability, and reliability.
• Establish best practices for Git-based data version control and DevOps integration.
• Develop and maintain comprehensive documentation of data architecture and provide training to team members on best practices and standards.
• Ensure compliance with HIPAA, HITRUST, and other healthcare data regulations.

What you'll need:

• Demonstrated experience in data architecture, data engineering, or related roles in the healthcare or life science industry.
• Demonstrated experience with data modeling and engineering of Claims and/or EHR data.
• Proficiency in SQL, Python, SQL and NoSQL databases, ETL/ELT processes, data warehousing, and cloud platforms (e.g., Azure, AWS, GCP).
• Strong understanding of healthcare data standards (e.g., HL7, FHIR, OMOP) and regulations (e.g., HIPAA, HITRUST).
• Understanding of healthcare insurance claims and risk adjustment processes.
• Strong top-down approach to problem-solving skills and the ability to think critically and strategically.
• Experience with Azure Data Services, Microsoft Fabric, Databricks, and SQL-based architectures.
• Experience deploying code into CI/CD pipelines, DevOps practices, and Git-based workflows.
• Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders.

Come join us and help our patients live their best lives. Learn more at www.interwellhealth.com.