Principal Data Architect

The Principal Data Architect at Interwell Health will be responsible for designing, implementing, and optimizing data architecture for healthcare data ingestion and processing. This includes creating data models, developing integration solutions, implementing best practices for data warehousing, and ensuring compliance with healthcare regulations such as HIPAA.

Candidates for the Principal Data Architect position at Interwell Health should have proven experience in data architecture or engineering within the healthcare or life sciences sector. Proficiency in SQL, Python, and cloud platforms like Azure or AWS, along with a strong understanding of healthcare data standards is essential.

The Principal Data Architect will directly contribute to enhancing patient care at Interwell Health by optimizing healthcare data architecture. This involves implementing solutions that improve data flow and integrity, thus enabling better analytics and decision-making that affects patient outcomes positively.

The Principal Data Architect will work with various technologies, including SQL and NoSQL databases, ETL/ELT processes, and cloud platforms such as Azure, AWS, and GCP. Experience with Azure Data Services and Databricks will also be beneficial.

Absolutely! At Interwell Health, we are committed to fostering a supportive environment where the Principal Data Architect can grow professionally. Opportunities for additional responsibilities, leadership roles, and involvement in exciting new projects are available.

Be prepared to discuss specific projects you've worked on, highlighting your experience with healthcare data standards and regulations. Explain how you approached designing data models and integrations that supported business needs.

Emphasize your understanding of compliance across data architecture and the steps you take to incorporate data protection measures, including your experiences in maintaining data security and monitoring for compliance.

Choose a scenario that demonstrates your problem-solving skills, particularly those related to data integration or optimization. Explain the steps you took and the impact your solution had on the project.

Provide a list of tools you have utilized in data architecture, especially those relevant to healthcare data solutions. Discuss your proficiency in SQL, Python, and any cloud technologies that you have experience deploying.

Highlight specific resources, communities, or conferences you follow to stay informed about developments in data architecture and healthcare data standards. Mention any certifications or courses you've completed.

This is an opportunity to delve into your background with claims or electronic health record data. Discuss how you've applied data modeling techniques to achieve specific goals within past roles.

Discuss your communication style and how you adapt your technical knowledge to collaborate effectively with team members from diverse backgrounds, such as product managers and engineers.

Share specific instances where you deployed code using CI/CD methodologies and discuss the tools you used, explaining how this improved the data workflow or optimizations.

Share your strategies for maintaining high data quality, such as implementing automated validation processes and regular audits. Discuss any tools or practices you've employed to ensure data integrity.

Convey your genuine interest in healthcare and how it aligns with your professional skills. Emphasize your commitment to improving patient care and why you believe Interwell Health's mission resonates with your values.