Senior Data & AI Solutions Architect

Snowflake; Clayton (NC); On-site; USD 220,000 - 288,000; Full time

Benefits offered by this job

401(k)

Health/dental/vision

Flexible PTO

Professional development budget

Job summary

Snowflake seeks a Senior Solution Engineer in North Carolina or nearby to join our data, AI, and enterprise‑architecture team. You will collaborate with sales and channel partners to map customer data challenges, design Snowflake‑native paths, and deliver compelling data‑driven demonstrations.

You will translate business problems into concrete Snowflake data solutions, run POCs, and partner with Product, Engineering, and Field teams to shape the roadmap.

Qualifications

• 3–8 years of industry experience in a pre‑sales or solutions architecture role focused on data platforms.
• Hands‑on expertise with SQL, Python, and cloud data warehouse / data lakehouse architectures.
• Broad experience across the modern data stack: ETL/ELT tools, streaming, orchestration, BI tools, and cloud infra.
• Experience positioning AI/ML capabilities within a data platform context.
• Ability to quantify business value of data architecture improvements.

Responsibilities

• Present Snowflake's Data Cloud vision to data leaders and executives.
• Lead hands‑on technical discovery mapping customer data architecture.
• Build and deliver demos and POCs across Snowflake's platform.
• Guide customers through modern data patterns and governance frameworks.
• Translate business problems into Snowflake data solutions and feed product roadmap.

Skills

SQL

Python

Pre-sales experience

Solutions architecture

Data governance

Cloud data platforms

ROI / business value

AI/ML in data

Education

Bachelor's degree in CS/Engineering/Data Science

Master's in Data Science is a plus

Tools

dbt

Fivetran

Informatica

Spark

Kafka

Job description

Snowflake seeks a Senior Solution Engineer in North Carolina or nearby to join our data, AI, and enterprise‑architecture team. You will collaborate with sales and channel partners to map customer data challenges, design Snowflake‑native paths, and deliver compelling data‑driven demonstrations.

You will translate business problems into concrete Snowflake data solutions, run POCs, and partner with Product, Engineering, and Field teams to shape the roadmap.