About the Role:
experience: 12-14 years
We are seeking an experienced Data & AI Architect to lead enterprise-scale Data, Analytics, Cloud, and AI transformation initiatives. The ideal candidate will possess deep expertise in modern data architectures, cloud-native platforms, Generative AI solutions, and enterprise consulting. This role requires a strategic technology leader capable of designing scalable solutions, engaging with senior stakeholders, and driving innovation through advanced AI capabilities.
Key Responsibilities
Data Engineering & Analytics
• Design, modernize, and optimize enterprise-scale ETL/ELT solutions.
• Architect and implement Data Lake, Data Warehouse, and Lakehouse platforms.
• Lead large-scale data migration, integration, and modernization initiatives.
• Define data models, performance optimization strategies, and best practices.
• Establish frameworks for data governance, data quality, metadata management, and security.
Cloud & Data Platforms
• Architect cloud-native data platforms leveraging AWS services and best practices.
• Design scalable, secure,
and cost-productive data ecosystems.
• Lead implementation and optimization of Snowflake and Databricks platforms.
• Drive cloud modernization and enterprise data transformation programs.
AI, Generative AI & Context Engineering
• Design and implement enterprise AI solutions utilizing:Large Language Models (LLMs)
• Agentic AI Frameworks
• Semantic Search
• Retrieval Augmented Generation (RAG)
• Vector Databases
• Prompt Engineering
• Context Engineering, including grounding, memory management, retrieval orchestration, and knowledge integration
• Build intelligent copilots, AI assistants, and autonomous agent-based workflows.
• Integrate Generative AI capabilities into enterprise data platforms and business processes.
• Establish AI governance, responsible AI practices, model evaluation frameworks, and hallucination mitigation strategies.
Architecture & Solution Leadership
• Lead end-to-end ar
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