Sr. Manager, Solution Architecture

USRC’s greatest strength in being a leader in the dialysis industry is our ability to recognize and celebrate the differences in our diverse workforce. We strongly believe in recruiting top talent and creating a diverse and inclusive work climate and culture at all levels of our organization. 

SUMMARY 

The Senior Manager, Solution Architecture is responsible for designing and governing end-to-end technology solutions that align with enterprise architecture standards, business objectives, and regulatory requirements. Reporting to the Senior Director, Enterprise Architecture, this role plays a critical hands-on leadership role in shaping cloud, data, and AI-enabled solutions across the organization. 

The Senior Manager, Solution Architecture brings deep technical expertise, particularly across Microsoft Azure and modern data platforms, combined with a strong consulting mindset. The role partners closely with engineering, data, analytics, cybersecurity, and business stakeholders to translate requirements into scalable, secure, and resilient solution architectures that support analytics, reporting, and AI/ML enablement. 

 

Essential Duties and Responsibilities  

 

• Design end-to-end solution architectures for Microsoft Azure–based and hybrid cloud environments. 

• Define scalable, secure, and resilient architectures aligned with enterprise standards and healthcare regulatory requirements. 

• Produce high-quality architecture artifacts, including solution designs, technical blueprints, and reference architectures. 

• Design data architectures, including data pipelines, ETL/ELT processes, and integration frameworks to enable analytics, reporting, and downstream AI/ML use cases. 

• Collaborate closely with data engineering teams working with platforms such as Databricks, Snowflake, and native Azure data services. 

Qualifications

• Bachelor's degree in computer science, information-technology, engineering, system analysis or a related field, or equivalent experience. 

• Minimum of ten years of experience across IT solution development disciplines, including application 
  development, middleware, database management and cloud development 

• Strong, hands-on expertise with Microsoft Azure (required). 

• Experience designing data architectures, ETL/ELT pipelines, and analytics platforms. 

• Proficiency in Python and familiarity with libraries such as scikit-learn for data science and ML use cases.