4 months ago
Base Salary
$236k - $339k/yr
Responsibilities
- Lead scoping, architecture, and technical direction for customer-focused migration and modernization projects.
- Design, build, and deploy software systems, tooling, automation, data pipelines, and modern data architectures on Snowflake.
- Contribute to prototypes, product features, and fixes as part of the Snowflake product development process.
- Provide technical guidance, mentorship, training, and enablement to client teams.
- Optimize data models, queries, and processing workflows for performance, efficiency, and cost-effectiveness.
- Evaluate and implement data integration tools and techniques for the Snowflake ecosystem.
- Troubleshoot technical challenges, performance bottlenecks, and operational issues.
Requirements
- Experience working with customers on complex, multifaceted projects.
- Prior experience delivering complex data-driven application migrations is a plus.
- 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++.
- Experience developing AI/ML applications.
- Strong understanding of data modeling, data warehousing, data lake concepts, and cloud data platforms.
- Strong problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a client-facing environment.
Benefits
- The role may require travel up to 20% of the time.
- Salary and benefits information for U.S.-located jobs is available on the Snowflake Careers Site.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.