The Enterprise Architect will be responsible for designing, governing, and evolving large‑scale enterprise solutions leveraging Java‑based platforms, Generative AI capabilities, and Big Data ecosystems. This role requires close collaboration with business stakeholders, delivery teams, and leadership to ensure scalable, secure, and future‑ready architectures aligned with business strategy.

Technical Skills & Expertise

Core Technologies
Java/J2EE, Spring Boot, REST APIs, Microservices architecture
Cloud Platforms: GCP (architecture & deployment)
DevOps & Platforms: Docker, Kubernetes, CI/CD pipelines

Generative AI
Hands‑on experience with LLMs (OpenAI, Claude, Llama, Mistral, etc.)
RAG architectures, Vector Databases (Pinecone, FAISS, OpenSearch, etc.)
Frameworks & tools: LangChain, LangGraph, Agentic AI frameworks
Prompt engineering, orchestration, and AI governance practices

Big Data & Analytics
Data processing frameworks: PySpark, Scala, Hive, Kafka, Databricks
Data platforms: Data Lakes, Lakehouse architectures
SQL & NoSQL databases
Data governance,



quality, and metadata management

Architecture & Governance
Enterprise integration patterns
System scalability, performance, and resiliency design
Security‑by‑design and compliance (enterprise standards)
Experience working in large enterprise or regulated settings

GCP, Pyspark, Java, SQL, Architect

Enterprise Architecture & Strategy
Define and own enterprise architecture vision, principles, standards, and reference architectures
Translate business goals and roadmaps into technology blueprints and transition architectures
Evaluate trade‑offs across scalability, performance, cost, security, and time‑to‑market
Govern architecture decisions across multiple teams and programs
Ensure alignment of solutions with long‑term enterprise and product strategy
Mentor architects and senior engineers; guide technical decision‑making across teams

Java & Application Architecture
Arc

📌 Enterprise Architect Bengaluru East (India)
🏢 Impetus
📍 India