Solution Architect - Enterprise Data & Full Stack Architecture

RIVAGO INFOTECH INC.

Charlotte, NC, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computing Platforms Microsoft Azure Data Architecture Data Governance Graph Database Python (Programming Language) Metadata Neo4j

+13 more

Search Technologies Software Engineering Enterprise Data Management Google Cloud Data Layers Event Driven Architecture Kubernetes Apache Kafka Cloud Integration Api Design Api Gateway Restful APIs 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