Data & AI Architect

Data & AI Architect Location: Noida / Pune (Preferred)

Roles & responsibilities

1. Data Engineering & Analytics

• Strong experience in ETL/ELT design, development, and modernization.
• Expertise in designing Data Lakes, Data Warehouses, and Lakehouse architectures.
• Experience in large-scale data migration, integration, data modeling, and performance optimization.
• Good understanding of data governance, data quality, metadata management, and security.

2. Cloud & Data Platforms

• Deep expertise in AWS Cloud Services and cloud-native data architectures.
• Hands-on experience with Snowflake and Databricks for enterprise-scale analytics and data processing.
• Experience building scalable, secure, and cost-optimized cloud data platforms.

3. AI, Generative AI & Context Engineering

• Experience designing and implementing solutions using:
• Large Language Models (LLMs)
• Agentic AI Frameworks
• Semantic Search
• Retrieval Augmented Generation (RAG)
• Vector Databases
• Prompt Engineering
• Context Engineering for optimizing AI system performance through effective context management, grounding, memory, retrieval, orchestration, and knowledge integration.
• Experience building enterprise AI copilots, intelligent assistants, and autonomous agent-based workflows.
• Understanding of AI governance, model evaluation, hallucination mitigation, and responsible AI practices.
• Ability to integrate GenAI capabilities into enterprise data platforms and business processes.

4. Architecture & Solution Leadership

• Lead end-to-end architecture and solution design for Data, Analytics, and AI transformation programs.
• Define architecture standards, best practices, governance frameworks, and reusable patterns.
• Conduct architecture reviews, technical assessments, solution workshops, and architecture governance.

5. Stakeholder & Client Management

• Strong communication and consulting skills with the ability to engage senior business and technology stakeholders.
• Experience interacting with Director, VP, and CXO-level customers.
• Ability to translate business objectives into scalable technical solutions and strategic roadmaps.

6. Leadership & Pre-Sales

• Provide technical leadership and mentorship to architects, data engineers, and AI teams.
• Support pre-sales activities including solutioning, estimations, proposal creation, customer presentations, and technical proposals.
• Experience leading enterprise-scale digital transformation, cloud modernization, and AI adoption initiatives.

Preferred Qualifications

• 14–16 years of overall experience in Data, Cloud, Analytics, and AI domains.
• AWS Certifications preferred.
• Experience working in global delivery and customer-facing consulting environments.

Exposure to emerging AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar Agentic AI ecosystems is a plus.