Sr. Architect, Solutions

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.

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 maintainability
2. 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 integrity
4. Design and implement scalable data infrastructure (data lakes, warehouses, streaming) and develop robust data pipelines and ETL/ELT processes using DevOps practices
5. Architect and implement LLM-based solutions, including RAG systems and vector databases
6. Contribute technical expertise to enterprise data governance initiatives, providing architectural guidance for quality standards, security protocols, and compliance requirements
7. Partner with senior business stakeholders to translate strategic objectives into technical roadmaps and communicate complex architectural decisions in business terms
8. 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%

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, BigQuery, 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 (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and graph database technologies

• Hands-on skills with infrastructure and DevOps tools, including Docker, Kubernetes, Terraform, Git, and CI/CD pipelines

• Solid experience with BI/analytics platforms such as Tableau, Power BI, for visualization and reporting

• Proficient in architecture documentation tools (Draw.io, Lucidchart, Visio) for creating technical diagrams

• Effective use of collaboration platforms, including Jira, Confluence, MS Teams, and agile project management tools

• Exceptional problem-solving skills with the ability to develop pragmatic solutions under ambiguous requirements

• Strong leadership and influence skills to drive consensus among diverse stakeholders

• Strategic thinker with hands-on capabilities who seamlessly shifts from enterprise architecture to technical implementation

• Systems thinker who sees the bigger picture and connects technical decisions to business outcomes

• Expertise in data engineering best practices including DataOps, pipeline orchestration, and data quality patterns

• Experience with data governance frameworks (DAMA-DMBOK, data cataloging, lineage)

• Drive technical decisions through comprehensive analysis of trade-offs and risks

• Self-driven learner who proactively stays current with emerging technologies

• Champion architectural best practices while adapting to project-specific needs
  

The salary range for this role is $126,000 - $207,900. Within this range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. The total compensation package for this position also includes a choice of health care plan (medical, vision, and dental insurance), an annual incentive bonus, paid time off, parental leave, bereavement leave and a 401(K) for all eligible employees.

Sysmex is proud to be an EEO/Affirmative Action employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex, sexual orientation, gender identity or expression, color, religion, national origin, genetics, disability status, protected veteran status or any other characteristic protected by law. We maintain a drug-free workplace and perform pre-employment substance abuse testing.