Hiring organization : IT services

Salary : Not disclosed , Experience : 10 -12 years

Data Architect job in Hyderabad in India :

Location : Hyderabad, Bangalore

Company is looking for a Data Architect (Manager Level) to lead enterprise-level solution design for GenAI-enabled, microservices-based, and event-driven architectures across cloud, AI, and data ecosystems. In this role, you will drive architectural governance, scalability, and long-term technology strategy while contributing to the development of advanced Knowledge Graph platforms that transform structured and unstructured data into AI-powered semantic intelligence.

Key Responsibilities

Design and govern end-to-end technical architecture across enterprise platforms and systems
Contribute to the development of Knowledge Graph platforms for AI-driven data intelligence
Develop and integrate data pipelines using Python within Azure ecosystem (ADF, Functions, AKS)
Implement GenAI-powered NLP workflows using LangChain and LangGraph
Design and manage data transformation pipelines for Neo4j AuraDB and PostgreSQL
Build and maintain REST APIs (FastAPI/Flask) for data ingestion and orchestration
Collaborate with DevOps teams to deploy scalable workloads on Azure Kubernetes Service (AKS)
Implement autoscaling solutions using KEDA and ensure efficient CI/CD practices
Integrate security controls using Azure Defender, Key Vault, and Managed Identities
Design and support RAG-based search and intelligent retrieval systems
Define architecture blueprints, standards, and reusable components
Establish architecture roadmap aligned with long-term platform strategy
Ensure scalability, performance, and security across microservices and AI systems
Collaborate with engineering teams to leverage shared services and frameworks
Evaluate and recommend GenAI technologies and automation opportunities
Define architecture for agentic workflows and multi-agent orchestration
Design RAG patterns including chunking, embeddings, and vector indexing
Maintain consistency across distributed systems and AI-powered features
Define CI/CD and infrastructure strategies for resilience and efficiency

Key Skills and Qualifications

10–14 years of experience in data architecture, cloud, or enterprise systems
Strong proficiency in Python for backend and data engineering
Extensive experience with Azure services (ADF, Blob Storage, Service Bus, Functions, AKS)
Experience with Neo4j or graph databases and PostgreSQL
Hands-on experience with LangChain, LangGraph, or LLM orchestration frameworks
Strong understanding of GenAI, RAG architectures, and AI-driven systems
Experience with API development and microservices architecture
Knowledge of event-driven systems and Kubernetes (AKS)
Strong understanding of cloud security, governance, and compliance
Experience designing scalable and reusable enterprise solutions

Preferred Qualifications