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Snowflake is seeking a Senior Solution Engineer to join its Global field team, working with Global Capability Centers (GCCs) in India. This is a hands-on, individual contributor role with high visibility across the organization.
You will work directly with account sales teams on global accounts to accelerate customers' Snowflake journeys. You will provide technical expertise to help Snowflake customers succeed in driving existing projects and uncovering new use cases. Your responsibilities include:
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers
- Work hands-on with prospects and customers to demonstrate and communicate Snowflake's value throughout the sales cycle, from demo to proof of concept to design and implementation
- Maintain deep understanding of competitive and complementary technologies and position Snowflake accordingly
- Collaborate with Product Management, Engineering, and Marketing to improve Snowflake's products and marketing
- Develop mutual trust with technical audiences on the customer side
- Run training sessions, workshops, and webinars to help customers become proficient in Snowflake
- Keep customers updated on key Snowflake product updates and future roadmaps
- Run technical enablement programs and solution design workshops
- Create and develop technical champions in accounts to drive adoption
- Represent Snowflake at customer and industry events
- Share customer success stories and case studies to showcase Snowflake's impact
You will need a broad range of skills spanning data architecture, ETL/ELT, data science, security, performance analysis, and analytics. You must have the insight to connect customer business problems to Snowflake solutions, customer-facing skills to communicate vision to diverse audiences, and technical skills to build demos, execute proof-of-concepts, and provide consultative assistance on architecture and implementation.
REQUIREMENTS:
- Minimum 10+ years of experience in customer-facing solution engineering (tech sales) roles, preferably with large global accounts
- University degree in computer science, engineering, mathematics, or related fields, or equivalent experience
- Strong competency in modern data stacks, ETL/ELT, data warehouse/lake, data science, and data apps
- Outstanding presentation skills for both technical and executive audiences, in small groups or at public events
- Hands-on expertise with SQL and Python
- Experience working with large global accounts, GSIs, and/or Global Capability Centers
- Experience with large-scale database technology (e.g., Netezza, Exadata, Teradata, Greenplum, Hadoop)
- Pre-sales experience in data-related tech products
- Sound understanding and experience in the enterprise market and technology ecosystem
BONUS QUALIFICATIONS:
- Data Science/AI/ML experience across various platforms
- Familiarity with common BI and data exploration tools (Tableau, PowerBI, Metabase)
- Cloud provider experience (AWS, Azure, Google Cloud)
- Data modeling and data architecture experience
- Experience selling enterprise SaaS software to global accounts
