---
title: 'Senior Solution Engineer at Snowflake'
canonical: 'https://feeny.ai/job/senior-solution-engineer-snowflake-bangalore-kqe8e36h0x1k'
type: 'job'
last_seen: '2026-10-16'
---

# Senior Solution Engineer at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Bangalore, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-08
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/snowflake/a04d9a72-3a76-4446-9241-afc721db39c3

## Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Solutions Engineer Location: Bangalore, India | Workplace: Hybrid Team: Solutions Engineering | Business Unit: Go-to-Market At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Senior Solutions Engineer to help customers across India turn complex data and AI priorities into measurable business outcomes. You will combine deep technical expertise, consultative discovery, and executive communication to shape secure, scalable solutions on the Snowflake AI Data Cloud.

AS A SENIOR SOLUTIONS ENGINEER AT SNOWFLAKE, YOU WILL:

- Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.
- Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.
- Build proofs of concept that validate performance, governance, interoperability, and business value for high-priority customer workloads.
- Advise customers on modernizing data platforms and migrating analytical workloads to Snowflake while reducing complexity and operational overhead.
- Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.
- Guide customer stakeholders on security, governance, privacy, and responsible AI patterns using Snowflake Horizon and related platform controls.
- Influence technical and executive decision makers through clear architecture narratives, workshops, demonstrations, and value-focused presentations.
- Mentor Solutions Engineering peers and contribute reusable field assets, reference architectures, and product feedback that improve execution across the region.

OUR IDEAL SENIOR SOLUTIONS ENGINEER WILL HAVE:

- 12+ years of relevant experience in solutions engineering, data architecture, cloud platforms, analytics, or an equivalent customer-facing technical role.
- A strong foundation in data warehousing, data engineering, analytics, cloud architecture, and enterprise security.
- Experience leading technical discovery and designing solutions for complex enterprise requirements.
- The ability to explain technical concepts clearly to engineers, architects, business leaders, and executives.
- Hands-on proficiency with SQL and at least one major cloud platform as supporting capabilities for solution design and validation.
- A record of influencing customer decisions through consultative problem solving, demonstrations, and proofs of concept.
- Strong collaboration skills and the ability to lead across sales, product, services, partners, and customer teams without direct authority.
- A bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.

## BONUS POINTS FOR THE FOLLOWING:

- Experience with Snowflake, Cortex AI, Snowpark, Streamlit in Snowflake, or native application development.
- Familiarity with GenAI architectures, retrieval-augmented generation, model governance, and AI-assisted solution engineering workflows.
- Experience supporting data platform modernization or migration programs in large enterprises.
- Knowledge of data governance, security, privacy, and regulatory considerations relevant to customers in India.
- Experience mentoring technical presales professionals or leading cross-account technical initiatives.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: [careers.snowflake.com](http://careers.snowflake.com)

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Incident Response Engineer](https://feeny.ai/job/incident-response-engineer-snowflake-bay-area-jqa55c6gc1cs) — Bay Area, CA
- [Enterprise Account Executive (Telco)](https://feeny.ai/job/enterprise-account-executive-telco-snowflake-tokyo-trj2h30qa5h3) — Tokyo, Japan
- [Staff Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/staff-software-engineer-engineering-systems-continuous-integration-snowflake-h2940jng26sc) — Bellevue, WA
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-snowflake-jakarta-30gzv9k1hzs9) — Jakarta, Indonesia
- [People Systems Analyst](https://feeny.ai/job/people-systems-analyst-snowflake-dublin-vgnrhrqe0h3t) — Dublin, CA
- [Software Engineer — Engineering Systems, Continuous Integration](https://feeny.ai/job/software-engineer-engineering-systems-continuous-integration-snowflake-bellevue-qj1ggt0n8p4d) — Bellevue, WA
- [Principal Forward Deployed Engineer II, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-ii-frontier-engineering-snowflake-menlo-park-kbdnwf9dh7ek) — Menlo Park, CA
- [Principal Forward Deployed Engineer I, Frontier Engineering](https://feeny.ai/job/principal-forward-deployed-engineer-i-frontier-engineering-snowflake-menlo-park-wzb965xmsew9) — Menlo Park, CA
- [Senior Solution Engineer - GCC](https://feeny.ai/job/senior-solution-engineer-gcc-snowflake-bangalore-rk8h5367fa0c) — Bangalore, India
- [Enterprise Account Executive, Observability](https://feeny.ai/job/enterprise-account-executive-observability-snowflake-seattle-ds17m2fbsd2c) — Seattle, WA