Solution Architect - Enterprise Data & Full Stack Architecture
RIVAGO INFOTECH INC.
Charlotte, United States of America
18 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Charlotte, United States of America
Tech stack
Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Computing Platforms
Azure
Data Architecture
Data Governance
Graph Database
Python
Metadata
Neo4j
Search Technologies
Software Engineering
Enterprise Data Management
Google Cloud Platform
Data Layers
Event Driven Architecture
Kubernetes
Kafka
Cloud Integration
Api Design
Api Gateway
REST
Microservices
Job description
Architecture & Platform Design
- Own end-to-end architecture for enterprise data and metadata platforms
- Define scalable, secure, and compliant solutions aligned to BFSI standards
- Develop architecture blueprints, standards, and reusable patterns
Enterprise Data & Semantic Architecture
- Design metadata, lineage, governance, and catalog architectures
- Architect knowledge graph solutions (Neo4j) with ontology and relationships
- Define semantic layer for consistent business data consumption
Full Stack & Microservices
- Architect cloud-native microservices platforms (Java/Python)
- Define API-first architecture (REST APIs, API gateways)
- Establish event-driven patterns (Kafka or similar)
Cloud & Integration
- Design solutions on AWS / Azure / Google Cloud Platform with focus on scalability and optimisation
- Implement containerised architectures (Kubernetes)
- Define enterprise integration patterns (API-led, event-driven)
Governance & Compliance
- Ensure data governance, security, and regulatory compliance
- Define metadata governance and stewardship workflows
- Enable lineage, auditability, and explainability
Stakeholder Leadership
- Collaborate with business and technology stakeholders
- Provide technical leadership and architecture oversight
Requirements
- Experience in Solution / Enterprise Data Architecture
- Strong expertise in metadata platforms and data governance
- Experience with knowledge graphs (Neo4j) and semantic layers
- Strong in microservices, APIs, and event-driven architectures (Kafka or similar)
- Hands-on with AWS / Azure / Google Cloud Platform and Kubernetes
- Understanding of BFSI regulatory environments, * 10+ years in software engineering and architecture
- 5+ years in solution / enterprise data architecture roles
- Exposure to AI/ML / GenAI / semantic search is a plus