Senior AI-Driven Data Solutions Architect (Pre-Sales)

Snowflake; Bellevue (WA); On-site; USD 189,000 - 248,000; Full time

Benefits offered by this job

401(k)?

Health/dental/vision

Flexible PTO

Professional development budget

Job summary

Snowflake is seeking an experienced Senior Solution Engineer to work with sales and partners on data challenges, architecting Snowflake-native paths and delivering compelling data-driven demonstrations. You will translate complex business problems into Snowflake data solutions and support enterprise Proofs of Concept that show measurable outcomes.

You will collaborate with Product, Engineering, and Field teams to feed patterns back into the roadmap, align with governance and AI capabilities, and

Qualifications

• Bachelor's degree in computer science, data science, engineering or related field.
• Minimum 5 years in a pre-sales or solutions architecture role focused on data platforms.
• Strong hands-on SQL/Python and cloud data warehouse architectures.

Responsibilities

• Present Snowflake's Data Cloud vision to data leaders and stakeholders.
• Lead hands-on technical discovery mapping customer data architecture and design Snowflake-native path forward.
• Build and deliver demos and POCs across Snowflake's data platform (Snowpark, Cortex AI, Data Sharing).
• Guide customers through data architecture patterns like Data Mesh and Lakehouse.

Skills

SQL

Python

Data architecture

Cloud data warehousing

ETL/ELT tools

BI tools

Education

Bachelor's degree in CS/Engineering

Master's in Data Science/Analytics

Tools

Snowpark

Snowpipe

Data Clean Rooms

dbt Cloud

Kafka

Airflow

Kinesis

Tableau/Power BI

Job description

Snowflake is seeking an experienced Senior Solution Engineer to work with sales and partners on data challenges, architecting Snowflake-native paths and delivering compelling data-driven demonstrations. You will translate complex business problems into Snowflake data solutions and support enterprise Proofs of Concept that show measurable outcomes.

You will collaborate with Product, Engineering, and Field teams to feed patterns back into the roadmap, align with governance and AI capabilities, and