Base Salary
$128k - $168k/yr
Responsibilities
- Lead customer engagements as the primary technical authority.
- Own architecture decisions and drive measurable outcomes.
- Partner with customer executives to define platform strategy.
- Translate ambiguous business problems into scalable technical solutions.
- Serve as the trusted escalation point for technical challenges.
- Architect and implement end-to-end AI/ML solutions on Snowflake.
- Define and champion MLOps practices within customer organizations.
- Drive adoption of Snowflake's AI product suite through architecture leadership.
- Lead replatforming efforts for complex AI/ML workloads onto Snowflake.
- Act as a bridge between delivery, Go-to-Market, and product teams.
- Mentor junior architects and consultants.
- Contribute to reusable architecture patterns and delivery accelerators.
Requirements
- BA/BS in computer science, engineering, mathematics, or related field.
- 8+ years of experience in solutions architecture or technical consulting.
- Demonstrated track record leading architecture decisions on enterprise data platforms.
- Deep hands-on experience implementing Snowflake in production environments.
- Expert-level understanding of the full data analytics stack.
- Strong grasp of the AI/ML lifecycle.
- Proficiency in SQL and Python.
- Experience designing and implementing MLOps frameworks at enterprise scale.
- Proven ability to influence senior technical and executive stakeholders.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.