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).
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