Full Stack Data Platform Architect (Python | GraphDB | GCP | Vector DB

Technical Architect with expertise in Python (FastAPI), React, Graph Databases (Neo4j/AuraDB), GCP, and Vector DBs (Milvus/pgvector) . Job Title: Full Stack Data Platform Architect (Python | GraphDB | GCP | Vector DB) Location: Bangalore Experience Required: 10 to 12 years Employment Type: Full-time About the Role: We are seeking a highly skilled Full Stack Technical Architect to lead the design and development of our next-generation communication intelligence platform. The ideal candidate will have a deep understanding of Python-based APIs , Graph Database systems (like Neo4j/AuraDB) , React frontend frameworks , and cloud-native big data platforms like GCP & Databricks . Exposure to Vector Databases and AI/ML integrations is a major plus. Key Responsibilities: Architect and lead full-stack solutions using React + Python (FastAPI) for real-time applications. Design and implement graph-based data systems using Neo4j / AuraDB and Graph Data Science (GDS) . Define and build scalable, secure APIs with JWT authentication and GraphQL integrations. Implement data integration pipelines between PostgreSQL , graph DBs , and GCP-Databricks . Design and optimize vector search capabilities using Milvus , pgvector , or similar technologies. Lead code quality, security, and DevOps adoption (CI/CD pipelines, version control). Collaborate cross-functionally with AI/ML engineers and product teams for semantic search, embeddings, and NLP-based use cases. Drive architectural decisions, evaluate new technologies, and mentor development teams. Key Skills & Technologies: Must-Have: Backend: Python, FastAPI, JWT, GraphQL Frontend: React.js, REST APIs Databases: Neo4j / AuraDB, PostgreSQL Cloud & Data: GCP, Databricks, BigQuery Vector DB: Milvus, pgvector, Weaviate, or equivalent DevOps: Docker, Git, CI/CD tools (GitHub Actions, GitLab CI, etc.) Good-to-Have: Experience with Graph Data Science (GDS) techniques Knowledge of embedding models , semantic search , AI/ML pipelines Familiarity with event-driven architecture and microservices Exposure to Langchain or other LLM toolchains Interested candidates , pls share cv on ashwini@anveta.com