Base Salary
$236k - $339k/yr
Responsibilities
- Provide hands-on technical guidance, conduct code reviews, develop engineers, and establish engineering best practices.
- Design and implement highly available distributed platforms, pipelines, and data infrastructure components for global data processing.
- Lead cross-functional engineering projects from inception through implementation and production deployment across multiple quarters and teams.
- Partner with product managers, senior individual contributors, data science teams, and business units to deliver end-to-end data platform capabilities.
- Own or co-own reliability, observability, SLOs, capacity, and durable remediation goals for the assigned problem space.
- Contribute to team strategy, platform evolution, and responsible use of AI-assisted engineering.
Requirements
- 12+ years of software development experience in distributed systems, with a strong focus on data warehouse or data infrastructure engineering.
- Deep experience developing resilient, large-scale services in AWS, Azure, or GCP public-cloud environments.
- Demonstrated proficiency in distributed systems architecture and database fundamentals, including complex system design.
- Excellent technical communication and collaborative problem-solving skills across multidisciplinary teams.
- BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
- Familiarity with data or ML orchestration systems across diverse architectures is a bonus.
Tech Stack
Categories
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.