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

Senior Lead – Snowflake & AI Engineering (Hybrid | 3 Days Onsite) - Core Talent Finder | Career Page

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

Chennai, Tamil Nadu, India

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

About the job 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).

Apply for Position

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