Data Architect

RxSense is a leading healthcare technology company delivering innovative solutions for pharmacy benefits and prescription savings. Our enterprise platform brings transparency, flexibility, and efficiency to pharmacy benefit management, helping clients streamline operations and enabling consumers to save on prescriptions. By integrating intelligence across the pharmacy ecosystem, RxSense makes cost-effective healthcare more accessible. Whether for PBMs, pharmacies, or individuals, our solutions help modernize operations, reduce costs, and improve outcomes. 

RxSense also owns and operates SingleCare, a free prescription savings service that offers consumers access to consistently low prices on prescription drugs. Through its partnerships with the country’s largest pharmacies and grocers, including CVS, Walgreens, Walmart, Kroger and Albertsons, SingleCare improves access and adherence to affordable medications and has helped millions of Americans save over $11 billion on their medications. 

RxSense is a great place to work! Our company has earned several prestigious awards, including Fast Company’s Most Innovative Companies, Forbes’ Top Startup Employers, Modern Healthcare's Best Places to Work in Healthcare, and Inc’s Best in Business and Best Workplaces.

 

About the Role:

We are seeking a Data Architect with deep expertise in healthcare and pharmacy benefit management (PBM) data systems, particularly those tied to government programs such as Medicaid and Medicare. You will lead the design and development of secure, scalable, and compliant cloud-based architectures that support analytics and applications across pharmaceutical, Medicaid, and Medicare domains. In this role, you’ll collaborate with engineering, product, and compliance teams to ensure solutions meet federal healthcare standards and support business performance.

This role requires hands-on experience with Snowflake, Matillion, and AWS (or similar technologies), along with strong knowledge of data governance, healthcare standards, and a strategic approach to building scalable, future-ready data systems.

Key Responsibilities:

Core Architecture and Engineering

• Design and implement scalable cloud-native architecture, integrating healthcare and PBM data to support Medicare drug pricing, compliance reporting and regulatory requirements.
• Own and maintain data models, data lakes, and data marts supporting Medicare Part D, Medicaid rebates, STAR ratings, DIR fees, and related programs.

Data Integration and Consumption

• Design systems that support downstream processes and data consumers, including BI tools, analytics teams, and operational end users.
• Act as the main point of contact between business stakeholders and the data engineering team for data-related needs.

Governance, Compliance & Security

• Design and implement data governance frameworks—including metadata management—to ensure traceability, auditability, and compliance with data quality, security, and HIPAA standards.
• Translate CMS and HHS mandates related to Medicare and Medicaid into applicable data standards and technical solutions.

Cross-Functional Collaboration

• Collaborate across Engineering, Analytics, DevOps, Product and Regulatory teams to define Critical Data Elements (CDEs) and align on business and technical requirements.

Scalability & Strategic Planning

• Develop and implement strategies for data security, capacity planning, scalability, backup and recovery, disaster preparedness, and long-term data archiving.
• Address architectural problems related to system integration and compatibility using optimal solutions and guided by industry best practices.
• Evaluate and apply AI/ML techniques to support use cases for claims, benefits, and member analysis.

Leadership

• Mentor and provide technical guidance to the data engineering team.

Required Qualifications

• 10+ years of experience in data architecture, including 5+ years in the healthcare or PBM industry and 3+ years in Medicaid/Medicare-specific work (preferred).
• 5 + years of combined experience with Snowflake, AWS, and Matillion.
• Hands-on experience with: Cloud Data Platforms: Snowflake (or similar cloud-based data warehouses). ETL/ELT Tools: Matillion (or similar tools).AWS Ecosystem: AWS services such as S3, Lambda, SNS, SQL, CloudWatch, Cognito, etc.CI/CD and Automation: Experience with CI/CD pipelines and data workflow automation.Data Modeling: dbt, ERwin or similar.Data Governance: Collibra or similar for metadata, lineage, and governance.
• Adv