Sr. Architect, Solutions

Overview

Find a Better Way...

 

...to use your skills and experience.

This is the time to let your talent come to life. To maximize your knowledge and use it for the greater good. To work with the best professionals using state-of-the-art technology, and improve lives with your innovative ideas and ambitious dreams. Find a better way: the Sysmex Way.

 

...to improve the lives of others.

Headquartered in Kobe, Japan, Sysmex is located in Lincolnshire, Illinois. Renowned worldwide for the very finest in quality, innovative diagnostic equipment and information-management systems, we apply science to enhance the quality of life on a global scale. Our agile, resourceful team is committed to realizing critical breakthroughs in laboratory diagnostics, information technology, workflow analysis and life sciences for the clinical laboratory.

 

...to build a promising future. 

Responsibilities

We currently have a great opportunity available for a Senior Solutions Architect. The Senior Solution Architect serves as a versatile technical leader who bridges specialized data architecture expertise with comprehensive solution design capabilities across the enterprise technology landscape. This role combines deep knowledge of data infrastructure, engineering, and analytics with the strategic vision required to architect, evaluate, and guide end-to-end technology solutions. The ideal candidate demonstrates both the ability to architect complex data ecosystems and the versatility to provide valuable insights across the full spectrum of enterprise technology solutions.

 

Essential Duties and Responsibilities:

 

1. Translate complex business requirements into technically sound, scalable solutions that align with enterprise architecture principles while optimizing for performance, cost, and maintainability2. Evaluate and review solution architectures at conceptual, logical, and physical levels, ensuring alignment with enterprise standards while participating as an active member of the Architecture Review Board (ARB)3. Serve as technical advisor across concurrent projects spanning cloud, applications, data, and DevOps initiatives, guiding development teams through solution implementation while maintaining architectural integrity4. Design and implement scalable data infrastructure (data lakes, warehouses, streaming) and develop robust data pipelines and ETL/ELT processes using DevOps practices5. Architect and implement LLM-based solutions, including RAG systems and vector databases6. Contribute technical expertise to enterprise data governance initiatives, providing architectural guidance for quality standards, security protocols, and compliance requirements7. Partner with senior business stakeholders to translate strategic objectives into technical roadmaps and communicate complex architectural decisions in business terms8. Evaluate and recommend optimal architecture patterns (microservices, serverless, event-driven) while balancing performance, scalability, and cost efficiency to maximize ROI 9. Lead technology evaluation and proof-of-concept initiatives to assess emerging tools, platforms, and frameworks for enterprise adoption 10. Other related duties and projects as may be assigned by leadership

 

Physical Demands: Light physical effort. Routine handling of objects up to 20 pounds; prolonged (at least 50% of time) sitting, standing, keyboard or CRT work. May require periods of moderate discomfort due to noise, dust, lighting and/or other conditions.

Percentage of Travel: 10%

Qualifications

• Bachelor’s degree in computer science, information systems, engineering, data science, or related technical field required (or 10+ years of equivalent professional experience).

• Must possess deep expertise in modern data platforms, cloud architecture, and AI/ML technologies, coupled with the business acumen to articulate technical solutions as business value. Experience with LLMs and RAG systems is preferred.

• Preferred: Cloud architecture certifications (AWS Solutions Architect Professional, GCP Professional Cloud Architect, etc.), data-specific certifications (AWS Data Analytics, GCP Data Engineer, Databricks/Snowflake)

• Nice to Have: AI/ML certifications, CDMP/DAMA

• Demonstrated ability to communicate complex technical concepts to diverse audiences, lead cross-functional teams without direct authority, and maintain current knowledge of emerging technologies while balancing innovation with practical business constraints.

• Excellent written and verbal communication skills in English required

• Ability to create clear technical documentation, deliver executive-level presentation