Enterprise Architect

Job Description

The Enterprise Architect will be responsible for designing, governing, and evolving largescale enterprise solutions leveraging Javabased 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 futureready 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

• Handson 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
• Securitybydesign and compliance (enterprise standards)
• Experience working in large enterprise or regulated environments

Roles & Responsibilities

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 tradeoffs across scalability, performance, cost, security, and timetomarket
• Govern architecture decisions across multiple teams and programs
• Ensure alignment of solutions with longterm enterprise and product strategy
• Mentor architects and senior engineers; guide technical decisionmaking across teams

Java & Application Architecture

• Architect largescale enterprise applications using Java/J2EE, Spring Boot, and microservices
• Define RESTbased, eventdriven, and APIfirst integration patterns
• Guide modernization of legacy monoliths into cloudnative and microservicesbased systems
• Ensure best practices for JVM performance, resilience, caching, and fault tolerance
• Set standards for code quality, design patterns, and reusable enterprise components

Generative AI Architecture

• Lead Generative AI usecase discovery, design, and implementation across business functions
• Design enterprisegrade RAG architectures, AI agents, assistants, and automation workflows
• Own GenAI architecture aspects such as:
• LLM selection and orchestration
• Prompt engineering strategies
• Vector database design and embedding pipelines
• AI workflow orchestration and agent frameworks
• Define governance for responsible AI, security, privacy, and cost controls
• Present and demonstrate AI solutions directly to client and executive stakeholders

Big Data & Data Platform Architecture

• Design and govern enterprise data platforms including data lakes, lakehouse, and analytics layers
• Architect batch, nearrealtime, and streaming data pipelines
• Enable AIready data architectures with metadata management, lineage, and quality controls
• Guide teams on scalable storage, compute, and query patterns for highvolume data systems
• Ensure tight integration between transactional systems and analytical platforms
• Nice to have experience in Mainframe migration using PySpark.

Cloud, DevOps & Platforms

• Define hybrid and cloudnative architectures on GCP
• Architect containerized platforms using Docker and Kubernetes
• Drive DevOps and CI/CD strategies for faster, reliable delivery
• Align infrastructure and platform decisions with application, AI, and data needs
• Optimize architecture for cost, resilience, and operational efficiency

Governance, Security & Compliance

• Ensure solutions meet enterprise security, compliance, and regulatory standards
• Embed securitybydesign and privacybydesign principles
• Review architecture for performance, scalability, availability, and disaster recovery
• Support audits, risk assessments, and architectural signoffs

Leadership, Mentoring & Collaboration

• Act as a technical authority across multiple teams and programs
• Mentor architects, tech leads, and senior engineers
• Review and guide solution designs, POCs, and complex implementations
• Collaborate closely with product managers, PMO, delivery managers, and leadership
• Mentor architects and senior engineers; guide technical decisionmaking across teams
• Support presales, RFP responses, SOW design, and effort estimations when required

Mandatory Skills

GCP, Pyspark, Java, SQL, Architect