Snowflake에서 Senior Solution Engineer로서 고객의 기술적 성공을 이끌 인재를 찾습니다. 8년 이상의 데이터 및 AI/ML 경력과 클라우드 아키텍처 설계 능력이 필수입니다. 기술적 전문성과 비즈니스 통찰력을 결합하여 고객의 비즈니스 성과를 극대화하고, Snowflake 데이터 클라우드를 활용한 혁신적인 솔루션을 제안하는 핵심 역할을 수행하게 됩니다.
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.
As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win.
Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries
Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance)
Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives
Partner with Account Executives to drive pipeline, accelerate deals, and close business
Serve as the voice of the customer back to Product and Engineering teams
Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators
Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem
8+ years of experience spanning multiple disciplines: data engineering, analytics, AI/ML, software development, cloud architecture, or technical consulting
Demonstrated ability to design end-to-end data platforms (ingestion, transformation,
orchestration, serving, governance)
Hands-on proficiency with SQL and at least one programming language (Python, Java, Scala)
Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tooling (dbt, Spark, Kafka, Airflow, Terraform, or equivalent)
Proven track record of delivering technical solutions in a customer-facing, pre-sales, or consulting capacity
Exceptional communication skills — can articulate deeply technical concepts to non-technical stakeholders and hold credibility with engineering teams simultaneously
Experience engaging with executive leadership (CTO, CDO, CIO, CFO) on business strategy and technology roadmap discussions
Experience with AI/ML workflows: model training, LLMs, RAG architectures, MLOps, feature engineering
Background in software engineering — building production applications, APIs, CI/CD pipelines
Prior consulting experience (Big 4, boutique, or internal) with demonstrated ability to scope, plan, and deliver complex technical programs
Familiarity with data governance, compliance frameworks, and security best practices
Experience with Snowflake or competing platforms (Databricks, BigQuery, Redshift)
Industry domain expertise (Financial Services, Healthcare, Retail, Media, or Public Sector)
You've been the "full-stack" technical person — not limited to one tool, one layer, or one audience
You thrive in ambiguity: scoping a problem, building conviction, and driving a customer to a decision
You combine technical depth with business acumen — understanding not just how to build, but why it matters
You have a builder's mindset: if a demo doesn't exist, you create it; if a gap exists, you close it
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
$240,000 - $280,000 OTE
Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.
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
