Job Sr. Architect, Solutions

Senior Solutions Architect 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:Translate complex business requirements into technically sound, scalable solutions that align with enterprise architecture principles while optimizing for performance, cost, and maintainabilityEvaluate 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 DevOps initiatives, guiding development teams through solution implementation while maintaining architectural integrityDesign and implement scalable data infrastructure (data lakes, warehouses, streaming) and develop robust data pipelines and ETL/ELT processes using DevOps practicesArchitect and implement LLM-based solutions, including RAG systems and vector databasesContribute technical expertise to enterprise data governance initiatives, providing architectural guidance for quality standards, security protocols, and compliance requirementsPartner with senior business stakeholders to translate strategic objectives into technical roadmaps and communicate complex architectural decisions in business termsEvaluate and recommend optimal architecture patterns (microservices, serverless, event-driven) while balancing performance, scalability, and cost efficiency to maximize ROILead technology evaluation and proof-of-concept initiatives to assess emerging tools, platforms, and frameworks for enterprise adoptionOther related duties and projects as may be assigned by leadershipPhysical 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 7+ years of architecture experience and Bachelor's degree in computer science, information systems, engineering, data science, or related technical field required.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/DAMADemonstrated 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 requiredAbility to create clear technical documentation, deliver executive-level presentations, and facilitate architecture discussions across technical and non-technical stakeholdersHands-on experience with cloud platforms (AWS, Azure, or GCP), including compute, storage, networking, and managed data servicesProficiency in programming languages, including Python and SQL, with working knowledge of Java, Scala, or similarStrong expertise with data platforms such as Snowflake, Databricks, or BigQuery, or data transformation tools like DBT (data build tool)Working knowledge of AI/ML frameworks, including LLMs, vector databases, and ML platforms preferredDemonstrated ability with relational (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), and graph database technologiesExperience with infrastructure and DevOps tools, including Docker, Kubernetes, Terraform, Git, and CI/CD pipelines preferredSolid experience with BI/analytics platforms such as Tableau, Power BI, for visualization and reportingProficient in architecture documentation tools (Draw.io, Lucidchart, Visio) for creating technical diagramsEffective use of collaboration platforms, including Jira, Confluence, MS Teams, and agile project management toolsExceptional problem-solving skills with the ability to develop pragmatic solutions under ambiguous requirementsStrong leadership and influence skills to drive consensus among diverse stakeholdersStrategic thinker with hands-on capabilities who seamlessly shifts from enterprise architecture to technical implementationSystems thinker who sees the bigger picture and connects technical decisions to business outcomesExpertise in data engineering best practices including DataOps, pipeline orchestration, and data quality patterns preferredExperience with data governance frameworks (DAMA-DMBOK, data cataloging, lineage) preferredDrive technical decisions through comprehensive analysis of trade-offs and risksSelf-driven learner who proactively stays current with emerging technologiesChampion architectural best practices while adapting to project-specific needsSalary Range: The salary range for this role is $126,000 - $190,000. 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.