Enterprise Architect

Job Description

The Enterprise Architect will be responsible for designing, governing, and evolving large-scale enterprise solutions leveraging Java-based platforms, Microservices, MongoDB, Kafka-based event streaming, and Big Data ecosystems, with a strong focus on product building and productization of enterprise platforms. Exposure to Generative AI capabilities and modern AI-driven architectures is expected to support emerging business needs. This role requires close collaboration with business stakeholders, product managers, delivery teams, and leadership to ensure scalable, secure, and future-ready architectures aligned with business and product strategy

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Technical Skills & Experti

seCore Technologi

• esStrong hands-on expertise in Java / J2EE, Spring Boot, Spring Cloud, REST AP
• IsMicroservices architecture — design, decomposition, service mesh, API gateways, event-driven patter
• nsMongoDB: schema design, sharding, replication, indexing, performance tuning, and aggregation pipelin
• esKafka: exposure to messaging/queueing patterns, producer-consumer design, topic & partition strategy, and event-driven integrati
• onCloud Platforms: GCP (architecture & deploymen
• t)DevOps & Platforms: Docker, Kubernetes, CI/CD pipelin

esProduct Building & Engineeri

• ngProven experience in building enterprise products from 0 to 1 and scaling them to maturi
• tyStrong understanding of product lifecycle, MVP design, feature roadmaps, and platform thinki
• ngExperience converting business problems into reusable, multi-tenant product capabiliti
• esFamiliarity with product telemetry, usage analytics, and continuous feedback loo

psArchitecture & Governan

• ceEnterprise integration patterns (including queue-based, pub-sub, and event-driven patterns using Kafk
• a)System scalability, performance, and resiliency desi
• gnSecurity-by-design and compliance (enterprise standard
• s)Experience working in large enterprise or regulated environmen

ts
Good to H

aveGenerative AI Experie

• nceHands-on experience with LLMs (OpenAI, Claude, Llama, Mistral, et
• c.)RAG architectures, Vector Databases (Pinecone, FAISS, OpenSearch, et
• c.)Frameworks & tools: LangChain, LangGraph, Agentic AI framewo
• rksPrompt engineering, orchestration, and AI governance practi
• cesExperience designing enterprise-grade AI agents, assistants, and automation workfl

ows
Roles & Responsibili

• tiesOwn enterprise architecture vision, standards, and reference architectures aligned with business and product stra
• tegyTranslate business goals into scalable, secure, and cost-optimized technology bluepr
• intsArchitect large-scale solutions leveraging Java, Spring Boot, Microservices, MongoDB, and Kafka-based event-driven patt
• ernsGovern architecture decisions across multiple teams and programs; evaluate tradeoffs across scalability, performance, cost, security, and time-to-ma
• rketDrive modernization of legacy systems into cloud-native platforms on GCP, containerized with Docker and Kubern
• etesPartner with Product Management to shape technical vision, roadmap, and productization of enterprise platf
• ormsEnsure compliance with enterprise security, privacy, and regulatory standards; embed security-by-design princi
• plesMentor architects, tech leads, and senior engineers; guide technical decision-making across t
• eamsSupport presales, RFP responses, SOW design, and effort estimations as ne