AI-Driven Enterprise Solutions Architect for Acquisition

Snowflake; Newark (NJ); On-site; USD 165,000 - 217,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) retirement plan

Health savings account

Paid holidays

Paid time off

Parental leave

Employee assistance program

Job summary

Snowflake is seeking a customer-facing Solution Engineer to guide customers from raw data to real AI impact, architect scalable solutions, deliver demos, and influence buying decisions across executive and technical audiences. Location is Mid-Atlantic; travel may be required.

You will partner with Sales to translate complex technical concepts into measurable business outcomes, while advancing AI-driven data modernization and strategic outcomes for enterprise customers.

Qualifications

• Strong SQL proficiency with data warehousing experience.
• Python usage for analytics or ML workflows.
• Familiarity with AI/ML concepts including Generative AI and LLMs.
• Excellent communication across technical and executive audiences.

Responsibilities

• Lead conversations on AI strategy and data modernization.
• Design and demonstrate scalable data and AI solutions using SQL and Python.
• Support enterprise Proofs of Concepts from concept to value realization.
• Translate complex technical concepts into measurable business outcomes.
• Navigate objections and competitive dynamics in high-stakes sales cycles.
• Leverage AI tools to personalize demos and accelerate prep.

Skills

SQL proficiency

Python for analytics

AI/ML concepts

Executive communication

Stakeholder influence

Growth mindset

Job description

Snowflake is seeking a customer-facing Solution Engineer to guide customers from raw data to real AI impact, architect scalable solutions, deliver demos, and influence buying decisions across executive and technical audiences. Location is Mid-Atlantic; travel may be required.

You will partner with Sales to translate complex technical concepts into measurable business outcomes, while advancing AI-driven data modernization and strategic outcomes for enterprise customers.