Senior Java Architect: Financial Systems, Cloud-native

TechDigital Group; Cary (NC); On-site; USD 100,000 - 160,000; Full time

Job summary

An established industry player is on the lookout for a Senior Java Architect with a robust background in the financial domain. This pivotal role involves leading the design and development of scalable backend systems while ensuring adherence to best practices. The ideal candidate will leverage their extensive experience in Java and Spring Boot to create high-quality, maintainable solutions. You will engage with cross-functional teams to implement integration solutions and apply SRE principles to enhance system reliability. Join a dynamic team that values innovation and excellence in technology, where your expertise will drive impactful results.

Qualifications

• 15+ years of experience in Java development with a focus on backend architecture.
• Strong understanding of cloud architectures and relevant certifications preferred.

Responsibilities

• Lead design and development of scalable backend systems and integration solutions.
• Utilize container technologies for deployment and orchestration of applications.

Skills

Java Development

Spring Boot

API Development

Cloud Technologies

Test-Driven Development

Database Design

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

OpenShift

JUnit

Mockito

Sonar

Fortify

Web Inspect

Job description

Data Modeler with strong Insurance domain expertise to design, develop, and maintain enterprise-level data models that support underwriting, policy administration, claims, billing, and analytics initiatives. The ideal candidate will work closely with business stakeholders, architects, and engineering teams to translate complex insurance business requirements into scalable and compliant data models.

Key Responsibilities

• Design and maintain conceptual, logical, and physical data models for insurance systems and data platforms.
• Work closely with business analysts, underwriters, actuaries, claims, and IT teams to understand data requirements.
• Model core insurance entities such as Policy, Coverage, Risk, Claim, Exposure, Party, Billing, and Reinsurance.
• Support data modeling for transactional systems, data warehouses, data lakes, and analytics platforms.
• Ensure data models adhere to industry standards, regulatory requirements, and data governance policies.
• Define data definitions, business rules, relationships, and metadata.
• Support data integration, migration, and modernization initiatives (legacy to cloud).
• Review and optimize data models for performance, scalability, and data quality.
• Collaborate with data engineers and developers during implementation.
• Participate in design reviews, impact analysis, and documentation.