Senior Solution Engineer

Snowflake
Bangalore-MSO, India
Hybrid

Who this role is best for

Candidates with enterprise data architecture experience and AI integration skills will find this hybrid role in India's Solutions Engineering team suits their expertise.

Best fit for

  • Candidates with 12+ years in data architecture and cloud platforms, and a history of customer-facing technical roles
    — “12+ years of relevant experience in solutions engineering, data architecture, cloud platforms, analytics, or an equivalent customer-facing technical role.”
  • Individuals who can translate business priorities into technical architectures using Snowflake's AI Data Cloud capabilities
    — “Lead technical discovery with customers and translate business priorities into architectures built on the Snowflake AI Data Cloud.”
  • Professionals with a background in consultative problem-solving and influencing executive decision-making
    — “Influence technical and executive decision makers through clear architecture narratives, workshops, demonstrations, and value-focused presentations.”

Things to consider

  • Candidates must be prepared to work across multiple teams without direct authority.
    — “The ability to lead across sales, product, services, partners, and customer teams without direct authority.”

How to stand out

  • Highlight experience in designing AI-powered data solutions using Snowflake's Cortex AI and Snowpark.
    — “Design and demonstrate solutions using Snowflake capabilities such as Cortex AI, Snowpark, Dynamic Tables, Streamlit in Snowflake, and secure data sharing.”
  • Emphasize past success in guiding enterprise stakeholders on security and governance frameworks.
    — “Guide customer stakeholders on security, governance, privacy, and responsible AI patterns using Snowflake Horizon and related platform controls.”
  • Showcase ability to mentor peers and create reusable field assets for broader impact.
    — “Mentor Solutions Engineering peers and contribute reusable field assets, reference architectures, and product feedback that improve execution across the region.”
  • Demonstrate leadership in cross-functional initiatives without direct authority.
    — “Partner with Account Executives, Product Management, Professional Services, and Snowflake partners to develop account strategies and remove technical barriers.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • lead technical discovery with customers
  • build proofs of concept
  • advise customers on modernizing data platforms
  • mentor Solutions Engineering peers
Typical background
12+ years of relevant experience in solutions engineeringdeep technical expertiseconsultative discovery

Skills & requirements

Required

Technical ExpertiseConsultative DiscoveryExecutive CommunicationAi-native ThinkingExperimental MindsetCustomer Management

Preferred

Cortex AISnowparkDynamic TablesStreamlit In SnowflakeSecure Data Sharing

Stack & domain

AISnowflake AI Data CloudCortex AISnowparkDynamic TablesStreamlit In SnowflakeSecure Data SharingInnate CuriosityLow-egoDynamic And Fast-moving EnvironmentsExperimental MindsetClear Architecture NarrativesWorkshopsDemonstrationsValue-focused PresentationsMentorshipEnterpriseAgentic EnterpriseAi-nativeData And AI PrioritiesSecure, Scalable SolutionsModernizing Data PlatformsMigrating Analytical WorkloadsSecurityGovernancePrivacyResponsible AI PatternsExecutive Communication

About the role

Original posting from Snowflake via Ashby

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

Source: Snowflake careers (Ashby)

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