Senior Lead – Snowflake & AI Engineering (Hybrid | 3 Days Onsite)

Senior Lead – Snowflake & AI Engineering (Hybrid | 3 Days Onsite | Enterprise AI Initiatives) Location: Chennai / Pune / Noida (Office Location) or Hyderabad (Client Location – shared during interview process) Work Model: Hybrid – 3 Days Onsite per Week Employment Type: Permanent Open Positions: 4 Experience Required: 7–12 Years Immediate hiring need. We are actively shortlisting candidates — apply now to be considered. About the Opportunity Our client, a fast-growing technology consulting and analytics organization, is expanding its enterprise data and AI practice and seeking a Senior Lead – Snowflake & AI Engineering . This is a high-impact leadership role focused on designing scalable Snowflake data platforms and building AI-powered conversational analytics solutions using LLM technologies. You will lead architecture, mentor engineers, and deliver production-grade AI and data solutions for enterprise functions including HR, Sales, Finance, and Supply Chain. If you enjoy building intelligent data ecosystems and enterprise-grade AI applications — this role is built for you. Key Responsibilities Snowflake Data Architecture & Engineering Design and optimize scalable data models (Star Schema, Snowflake Schema, Data Vault) Build high-performance ELT pipelines using Snowflake-native capabilities Implement RBAC, governance frameworks, and security policies Perform performance tuning, clustering optimization, and warehouse sizing Drive cost-efficient Snowflake architecture decisions AI Engineering & LLM Implementation Develop and deploy AI agents using Snowflake Cortex LLM or similar platforms Design Retrieval-Augmented Generation (RAG) frameworks on enterprise datasets Build vector embeddings and semantic search layers Implement prompt engineering strategies with enterprise guardrails Ensure explainability, compliance, and security of AI outputs Conversational Analytics Development Build natural language-driven enterprise analytics solutions Deliver persona-based insights for business stakeholders Integrate structured and semi-structured data sources Partner with BI/UI teams to enable insight consumption Technical Leadership & Delivery Ownership Lead a team of 3–6 engineers Provide architectural guidance and conduct code reviews Own end-to-end solution delivery (design to deployment) Participate in sprint planning and stakeholder communication Mentor junior engineers on Snowflake and AI best practices Business Collaboration Translate functional requirements into scalable analytical solutions Develop KPI frameworks aligned to business objectives Identify AI-driven automation opportunities across enterprise functions Required Qualifications 7–12 years of experience in Data Engineering / Analytics Engineering / AI Engineering 4+ years of hands-on Snowflake Data Warehouse experience Strong dimensional data modeling expertise Experience building conversational AI or RAG-based systems Hands-on experience with Snowflake Cortex LLM or similar LLM platforms Strong SQL and Python proficiency Experience with data governance and performance optimization Background working in Agile delivery environments Preferred Qualifications Snowflake Certification Exposure to MLOps and model deployment practices Functional domain experience in at least two areas: HR, Sales, Finance, or Supply Chain Whats in It for You Compensation: ₹25,00,000 – ₹38,00,000 (Based on experience) Lead enterprise AI transformation initiatives Work on cutting-edge LLM and Snowflake implementations Leadership exposure with architectural ownership Stable, long-term permanent opportunity Enterprise-scale, cross-functional impact Fast-track career growth in AI and advanced analytics This is a strategic, visible role with strong technical ownership and long-term growth potential. Ready to take the lead in enterprise AI and Snowflake architecture? Apply today — interviews are already underway. We are actively shortlisting candidates with a 1-month notice period (serving notice preferred).