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Snowflake

Runs a cloud platform for business data and AI

Senior Solutions Engineer - Pre-Sales

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 10 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.
  • 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 for solution design and validation.
  • A record of influencing customer decisions through consultative problem solving, demonstrations, and proofs of concept.
  • 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.

Responsibilities

  • 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 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.

Desired Qualifications

  • 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.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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