# Solution Engineer - GCC

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Unspecified
**Role:** Sales Engineering
**Experience:** 8+ years
**Skills:** SQL, Python, Etl/Elt, Data Warehousing, Data Lakes, Data Architecture, Data Modeling, Snowflake, Netezza, Exadata, Teradata, Hadoop, Tableau, Power BI, GCP
**Posted:** 2026-07-10

> The Solution Engineer partners with sales and customer teams in India-based GCC accounts to demonstrate Snowflake, lead proofs of concept, and provide data architecture and implementation guidance. The role requires 8+ years in customer-facing solution engineering, strong SQL and Python skills, modern data-stack expertise, and executive-level communication.

## Job Description

## Responsibilities
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
- Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Maintain a deep understanding of competitive and complementary technologies and vendors, and position Snowflake in relation to them.
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing.
- Build mutual trust with technical stakeholders on the customer side.
- Run training sessions, workshops, and webinars to help customers become proficient in Snowflake.
- Keep customers up to date on product updates and future roadmaps.
- Run technical enablement programs and solution design workshops covering best practices.
- Create and develop technical champions within accounts to drive Snowflake adoption.
- Represent Snowflake at customer and industry events.
- Share customer success stories and case studies to communicate business impact.

## Requirements
- 8+ years of experience in customer-facing solution engineering or technical sales, preferably with large global accounts.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
- Strong competency with modern data stacks, ETL/ELT, data warehouses and lakes, data science, and data applications.
- Excellent presentation skills for technical and executive audiences, including public events, whiteboarding, presentations, and demos.
- Hands-on expertise with SQL and Python.
- Experience with large global accounts, GSIs, and/or Global Capability Centers.
- Experience with large-scale database technologies such as Netezza, Exadata, Teradata, Greenplum, or Hadoop.
- Pre-sales experience with data-related technology products.
- Sound understanding of the enterprise market and technology ecosystem.
- BFSI industry experience is highly desirable.

## Nice-to-haves
- Data science, artificial intelligence, or machine learning experience across multiple platforms.
- Familiarity with business intelligence and data exploration tools such as Tableau, Power BI, or Metabase.
- Experience with Amazon Web Services, Microsoft Azure, or Google Cloud.
- Data modeling and data architecture experience.
- Experience selling enterprise SaaS software to global accounts.

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