Senior Data Cloud Architect · Snowflake · Speaker

Hi, I'm
Sam Gupta.

I help data engineers grow into AI Solution Architects — with the real enterprise patterns, the mental models, and the architectural thinking that nobody else is teaching.

Sam Gupta — Senior Data Cloud Architect at Snowflake
F500
Enterprise Clients
43K+
DET Community Reach
Summit
Snowflake Summit 2026 Speaker
E2E
Strategy to Production

I took the long way — on purpose.

I studied electronics and communication engineering. Not data, not computer science. But I ended up working across infrastructure, admin, system integrators, and product companies — every layer, deliberately. I wanted to understand how these systems actually work end-to-end, not just where my piece of the puzzle fit.

That decision shaped everything. When I talk about context engineering for AI agents, or how the semantic layer connects to your governance model, or why MCP matters at the protocol level — I'm drawing on architectural thinking that comes from having seen the whole stack.

Today I work at Snowflake as a Senior Data Cloud Architect, advising Fortune 500s across financial services, technology, and healthcare. I'm building Data By Sam because I want other data engineers to see that this path — from technician to architect — is something you can learn. It's not luck. It's a set of skills, mental models, and decisions.

Snowflake GenAI & LLMs Data Engineering Solution Architecture Context Engineering Data Governance Security MCP Enterprise Strategy
Sam Gupta at the Golden Gate Bridge, San Francisco
Sam Gupta at sunset in Dallas Sam Gupta in Las Vegas
Sam Gupta speaking on the main stage at a Snowflake event

Snowflake Summit 2026 · Main Stage

On the world's biggest
data & AI stage.

Speaking to thousands of data engineers, architects, and AI leaders.

On stage & on screen.

Talks and webinars on AI-ready data engineering, enterprise architecture, and the skills DEs need to lead in the agentic era.

Upcoming · DET Toronto 2026
The DE's New Job: What Nobody Told You About AI-Ready Data
Data Engineer Things · Toronto, Canada · 2026 · 20-min talk

AI agents don't just need clean data — they need meaning. The three layers every data engineering team needs for the agentic era: the semantic layer, the ontological model, and MCP as the delivery protocol.

Event details →
Snowflake Webinar · On-Demand
Data Security in Multi-Tenant GenAI Applications
Snowflake Customer Webinar · November 2025

Fine-grained governance extended directly to LLM outputs — ensuring every persona only sees what they're authorised to see, even when AI agents are doing the querying.

Watch on-demand →
Snowflake Webinar · On-Demand
Unlock External Knowledge Sources for GenAI with Snowflake Cortex
Snowflake Customer Webinar · November 2025

Governed RAG pipelines natively in Snowflake using Cortex Knowledge Extensions — trusted third-party knowledge without data sprawl or security trade-offs.

Watch on-demand →
Sam Gupta on stage at a Snowflake conference

Snowflake · Enterprise Events

Where enterprise data
meets the agentic era.

Ideas worth reading.

Enterprise-grade thinking on data engineering, AI adoption, and the architectural patterns that actually work at scale.

Snowflake Openflow: Enabling World-Class FinOps
How Openflow turns data integration costs from expense to advantage — pipeline cost visibility, strategic resource optimisation, and the architecture decisions that give CFOs and engineers both what they need.
The Semantic Layer Is Not Optional Anymore
Why the semantic layer moved from a BI nice-to-have to the most important thing a data engineering team can build in the agentic era. Coming soon.
From DE to SA: The Mental Models Nobody Teaches You
The mental shift that separates data engineers from solution architects — and how to make it deliberately. Coming soon.
✦ Free Guide — No fluff. Just the signal.

The immediate things to upskill from Data Engineer to Solutions Architect in the AI era

Built from real enterprise work. Concrete, prioritised, and specifically designed for senior DEs ready to think bigger.

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