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.

competitive base salary
variable compensation
equity
comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget

Senior Solution Engineer

Key skills