Sr. Architect, Solutions

Join to apply for the Sr. Architect, Solutions role at Sysmex America, Inc.

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.

• Translate complex business requirements into technically sound, scalable solutions that align with enterprise architecture principles while optimizing for performance, cost, and maintainability
• 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)
• Serve as technical advisor across concurrent projects spanning cloud, applications, data, and Dev Ops initiatives, guiding development teams through solution implementation while maintaining architectural integrity
• Design and implement scalable data infrastructure (data lakes, warehouses, streaming) and develop robust data pipelines and ETL/ELT processes using Dev Ops practices
• Architect and implement LLM-based solutions, including RAG systems and vector databases
• Contribute technical expertise to enterprise data governance initiatives, providing architectural guidance for quality standards, security protocols, and compliance requirements
• Partner with senior business stakeholders to translate strategic objectives into technical roadmaps and communicate complex architectural decisions in business terms
• Evaluate and recommend optimal architecture patterns (microservices, serverless, event-driven) while balancing performance, scalability, and cost efficiency to maximize ROI
• Lead technology evaluation and proof‑of‑concept initiatives to assess emerging tools, platforms, and frameworks for enterprise adoption
• Other related duties and projects as may be assigned by leadership

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.

10%

• 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 presentations, and facilitate architecture discussions across technical and non‑technical stakeholders.
• Hands‑on experience with cloud platforms (AWS, Azure, or GCP), including compute, storage, networking, and managed data services.
• Proficiency in programming languages, including Python and SQL, with working knowledge of Java, Scala, or similar.
• Strong expertise with data platforms such as Snowflake, Databricks, Big Query, and data transformation tools like DBT (data build tool).
• Working knowledge of AI/ML frameworks, including LLMs, vector databases, and ML platforms.
• Demonstrated ability with relational (Postgre
  
  SQL, MySQL), No
  
  SQL (Mongo
  
  DB, Dynamo
  
  DB), and graph…