
Solution Engineer at Snowflake (Atlanta, GA)
Snowflake· Atlanta, GA· $138k–$181k·
Role details
Snowflake at a glance
Snowflake runs the AI Data Cloud, a fully managed platform for storing, analyzing, sharing, and building AI on enterprise data across AWS, Azure, and GCP.
Snowflake provides the AI Data Cloud, a single managed platform for data warehousing, data lakes, engineering, analytics, data science, app development, secure data sharing, and AI, running across AWS, Azure, and GCP. It separates storage from compute so customers scale and pay for each independently.
Public (NYSE: SNOW); ~$88B market cap raised · latest: IPO · September 2020 · largest software IPO on record · backed by Sequoia Capital, Altimeter Capital, Iconiq Capital, Dragoneer Investment Group
Job description
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.
Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation.
In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences.
LOCATION: CANDIDATE MUST BE LOCATED IN OR NEAR ATLANTA.
WHAT YOU’LL DO
- Lead customer conversations on AI strategy and data modernization.
- Design and demonstrate scalable data and AI solutions using SQL and Python.
- Support enterprise Proof 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, accelerate preparation, and enhance delivery.
WHAT YOU BRING
- Strong SQL proficiency and experience with modern data warehousing.
- Experience using Python for analytics or ML workflows.
- Familiarity with AI/ML concepts, including Generative AI and LLMs.
- Exceptional communication skills across technical and executive audiences.
- Ability to influence stakeholders and maintain credibility under pressure.
- A growth mindset with a track record of learning and adapting quickly.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com careers.snowflake.com
Why work at Snowflake
- Culture: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- Work‑Life Balance: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- Benefits: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- Engineering Focus: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- Recognition: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.