Job description:
R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities.
Data Architect
R1 RCM Inc. is a leading provider of technology-enabled revenue cycle management services which transform and solve challenges across health systems, hospitals and physician practices. Headquartered in Chicago, R1® is a publicly-traded organization with employees throughout the US and multiple INDIA locations.
Our mission is to be the one trusted partner to manage revenue, so providers and patients can focus on what matters most. Our priority is to always do what is best for our clients, patients and each other. With our proven and scalable operating model, we complement a healthcare organization’s infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.
Description:
We are seeking a highly skilled and motivated Data Cloud Architect to join our Product and technology team. As a Data Cloud Architect, you will play a key role in designing and implementing our cloud-based data architecture, ensuring scalability, reliability, and optimal performance for our data-intensive applications. Your expertise in cloud technologies, data architecture, and data engineering will drive the success of our data initiatives.
Responsibilities:
- Collaborate with cross-functional teams, including data engineers, data leads, product owner and stakeholders, to understand business requirements and data needs.
- Design and implement end-to-end data solutions on cloud platforms, ensuring high availability, scalability, and security.
- Architect delta lakes, data lake, data warehouses, and streaming data solutions in the cloud.
- Evaluate and select appropriate cloud services and technologies to support data storage, processing, and analytics.
- Develop and maintain cloud-based data architecture patterns and best practices.
- Design and optimize data pipelines, ETL processes, and data integration workflows.
- Implement data security and privacy measures in compliance with industry standards.
- Collaborate with DevOps teams to deploy and manage data-related infrastructure on the cloud.
- Stay up-to-date with emerging cloud technologies and trends to ensure the organization remains at the forefront of data capabilities.
- Provide technical leadership and mentorship to data engineering teams.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
- 10 years of experience as a Data Architect, Cloud Architect, or in a similar role.
- Expertise in cloud platforms such as Azure.
- Strong understanding of data architecture concepts and best practices.
- Proficiency in data modeling, ETL processes, and data integration techniques.
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark).
- Knowledge of containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with data warehousing solutions (e.g., Redshift, Snowflake).
- Strong knowledge of security practices for data in the cloud.
- Excellent problem-solving and troubleshooting skills.
- Effective communication and collaboration skills.
- Ability to lead and mentor technical teams.
Additional Preferred Qualifications:
- Bachelors Degree / Master's degree in Data Science, Computer Science, or related field.
- Relevant cloud certifications (e.g., Azure Solutions Architect) and data-related certifications.
- Experience with real-time data streaming technologies (e.g., Apache Kafka).
- Knowledge of machine learning and AI concepts in relation to cloud-based data solutions.
