Data Architect

at  Cohere Health

COMPANY OVERVIEW:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled. That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare’s Fierce 15 and CB Insights’ Digital Health 150 lists.

YOUR BACKGROUND & REQUIREMENTS:

• 4+ years of experience leading data architecture initiatives in a fast-paced, agile environment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field with at least 12 years of relevant experience.
• Proven track record of designing and implementing scalable data warehouses and governance policies.
• Expertise in SQL and proficiency in data modeling and design. Experience having integrated NoSQL systems as part of a broader data architecture.
• Hands-on experience with ETL processes, data integration, and data quality frameworks.
• Experience with data governance tools and practices.
• Experience building data platforms using python, AWS, Airflow, dbt, and data warehouses.
• Familiarity with healthcare data standards such as HL7, FHIR, and CCDA.
• Strong understanding of data privacy and security regulations, including HIPAA.
• Experience with business intelligence tools like Tableau or PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

• Lead the design, implementation, and optimization of our data warehouse and governance policies to ensure scalability and compliance with healthcare regulations.
• Work closely with stakeholders to understand data requirements and deliver actionable insights that can be efficiently productized.
• Design, develop, operationalize, and maintain the data models, both logic, physical and conceptual to support various business use cases.
• Collaborate with cross-functional teams to define data architecture standards and best practices.
• Ensure data quality, integrity, and security across all data sources and systems.
• Provide technical leadership and mentorship to data engineering and management teams.
• Create and manage data governance frameworks, including data catalogs, lineage, and metadata management.
• Stay current with emerging data technologies and evaluate their potential impact on our architecture.