Senior Solution Engineer

About the role

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.

Responsibilities

• 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
• Persistently engage 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

Requirements

• 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

Preferred Qualifications

• 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)