Base Salary
$200k - $288k/yr
Responsibilities
- Design, build, and deploy software systems, tooling, and automation supporting customer solutions on Snowflake.
- Design and implement scalable data pipelines and modern data architectures while ensuring data quality, integrity, and efficient processing.
- Analyze and optimize data models, queries, and data processing workflows for performance, efficiency, and cost-effectiveness.
- Evaluate and implement modern data integration tools and techniques for the Snowflake ecosystem.
- Provide technical guidance, mentorship, training, and enablement to client teams on data management, analytics, AI/ML capabilities, and BI integration.
- Troubleshoot technical challenges, performance bottlenecks, and operational issues, and document solutions, configurations, and best practices.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- Proficiency in programming and scripting languages such as Python, Go, Java, or C++.
- Proficiency in the Spark ecosystem.
- Strong understanding of data modeling, data warehousing, data lakes, and cloud data platforms.
- Ability to work independently and collaboratively in a client-facing environment.
- Strong problem-solving, analytical, communication, and client collaboration skills.
- Up to 20% travel may be required.
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.