Data Architect

March 25

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R1 RCM

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R1 RCM is a leading provider of revenue cycle management solutions for the healthcare industry. With an emphasis on maximizing financial performance and optimizing patient care, R1 offers a comprehensive platform that integrates data analytics, intelligent technologies, and deep expertise in revenue cycle management. The company assists healthcare providers—ranging from hospitals and health systems to physician and specialty care practices—in capturing revenue opportunities, improving payer and patient cash flows, and ensuring compliance with government regulations. R1 is committed to driving cost reductions and revenue improvements while enhancing the patient experience. Their suite of services includes revenue recovery, clinical integrity, and regulatory navigation, making them a trusted partner for many top healthcare providers.

Revenue Cycle Management (RCM) • Physician Advisory Services • Digital Transformation • Patient Experience • Practice Management

10,000+ employees

Founded 2017

⚕️ Healthcare Insurance

☁️ SaaS

💸 Finance

🔥 Funding within the last year

💰 Private Equity Round on 2024-07

📋 Description

• The Data Architect will play a critical role in designing, developing, and implementing scalable software and data architectures within R1’s technology ecosystem. • This role will focus on key areas including cloud-native architecture, data acquisition and management, AI/ML frameworks, front-end and back-end systems, hybrid cloud and on-premise infrastructure, as well as data strategy, governance, security, and compliance. • Responsibilities include designing and implementing AI-powered healthcare software solutions, developing supporting data platform models within a lakehouse architecture, and establishing robust deployment frameworks for customer data onboarding. • The architect will also define R1’s data models for value stream products while ensuring data integrity, compliance, security, and privacy. • Collaboration with cross-functional teams and external vendors will be essential to drive innovation and maintain alignment with business objectives.

🎯 Requirements

• Strong proficiency in designing data models to support cloud and lake house data management architectures • Hands on engineering experience building enterprise software solutions using cloud-based data solutions and big data technologies • Strong working proficiency with cloud solution architecture in AWS, Azure, or GCP • Strong working proficiency with at least one main stream programming languages, including Python, Java, C#, Spark • Strong knowledge of software architecture principles and enterprise software patterns • Strong Proficiency in highly scalable data integration techniques, data warehousing, and ETL processes. • Hands on engineering experience using data visualization tools and technologies including Power BI, Looker, Microstrategy • Hands on engineering experience building data pipelines using modern data technologies including Databricks, Airflow, DBT, Snowflake • Healthcare Data Expertise: Utilize extensive knowledge of healthcare data standards (e.g., HL7, FHIR, X.12, ICD-10) and regulatory requirements (e.g., HIPAA, GDPR) to guide data architecture design and data governance practices • Experience working with globally distributed teams. • Ability to work collaboratively in a cross-functional team environment and lead initiatives in a strong matrix team structure • Designing and building software solutions using low code/no code frameworks

🏖️ Benefits

• Competitive benefits package • Opportunity to constantly learn and collaborate across groups