Senior Solution Engineer

Role overview

Senior Solution Engineer at Snowflake

Responsibilities

• Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.

Employment details

• Location: Bengaluru [Karnātaka] [India]

About the employer

• At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
• Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.
• Advise customers on modernizing data platforms and migrating analytical workloads to Snowflake while reducing complexity and operational overhead.
• Guide customer stakeholders on security, governance, privacy, and responsible AI patterns using Snowflake Horizon and related platform controls.

Additional role details

• 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.
• You will combine deep technical expertise, consultative discovery, and executive communication to shape secure, scalable solutions on the Snowflake AI Data Cloud.
• Build proofs of concept that validate performance, governance, interoperability, and business value for high-priority customer workloads.
• Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.
• 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. 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.
• 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.