Technology Architect (Java) – Charlotte, NC (Onsite) – Only H1B – 12+ years

Job Title: Technology Architect (Java )
Location: Charlotte, NC (Onsite)
Visa: H1B Only
Experience: 12+years

Job Description
We are seeking an experienced Technology Architect with deep expertise in Java-based enterprise applications and modern Data Engineering platforms. The ideal candidate will lead architecture design, provide technical leadership, drive cloud-native and data modernization initiatives, and ensure scalable, secure, and high-performing solutions across distributed systems and large-scale data platforms. The role requires strong hands-on experience in Java application architecture, data engineering, cloud technologies, microservices, streaming, and modern data platforms. The candidate will collaborate closely with business stakeholders, engineering teams, and enterprise architects to deliver strategic technology solutions.

Roles & Responsibilities
Architecture & Solution Design ·
Define end-to-end architecture for enterprise-grade applications and data platforms. ·
Design scalable, resilient, and secure solutions aligned with business and technology roadmaps. ·
Lead architecture reviews, technical governance, and technology standardization initiatives. ·
Establish architecture principles, patterns, and best practices across development teams.

Java Platform Leadership ·
Architect and guide development of Java/J2EE, Spring Boot, and Microservices-based applications. ·
Lead API-first and event-driven architecture initiatives. ·
Provide technical guidance on performance, scalability, security, and maintainability. ·
Conduct design reviews and code reviews for critical applications. Data Engineering Leadership ·
Design and implement modern data platforms supporting batch, streaming, and real-time analytics. ·
Lead data architecture initiatives involving Data Lakes, Lakehouse, Data Warehouses, and Data Mesh architectures. ·
Establish data ingestion, transformation, lineage, governance, and quality frameworks. ·
Guide teams on Spark, Databricks, Kafka, Airflow, and cloud-native data services.

Cloud & Platform Engineering ·
Architect solutions on AWS, Azure, or GCP. ·
Define CI/CD, DevSecOps, Infrastructure-as-Code, observability, and operational excellence practices. ·
Drive modernization and migration initiatives from legacy platforms to cloud-native architectures.