Key skills
CloudJavaPythonGoC++CAIMLData WarehousingData LakeAnalyticsBISnowflakePerformance OptimizationCommunicationCollaboration
About this role
Role Overview
- Migration Project Execution: You will work with multiple FDE teams that each focus on a specific customer. You’ll set architecture and direction for the team as it works to design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake.
- Software Development: All Migration FDE members, leads and otherwise, contribute to our product. We build prototypes, contribute to feature development, fix problems that we find. Doing so helps drive impact on the roadmap and improves individual depth in the product itself.
- Client Collaboration and Enablement: Provide expert technical guidance, mentorship, and training to client teams on leveraging the Snowflake platform effectively, including data management, analytics, AI/ML capabilities, and reporting/BI integration.
- Platform Implementation: Design scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment.
- Performance Optimization & Best Practices: Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness within the Snowflake environment. Champion Snowflake best practices.
- Modern Data Solutions: Evaluate, recommend, and implement modern data integration tools and techniques suitable for the Snowflake ecosystem, helping customers evolve their data capabilities.
- Troubleshooting and Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues.
Requirements
- Prior experience working with customers on complex, multi-faceted projects.
- Big plus: prior experience delivering complex data-driven application migrations.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Excellent problem-solving, analytical, and communication skills.
- Proficiency in programming and scripting languages such as Python, Go, Java or C++.
- Experience with developing AI/ML applications.
- Strong understanding of data modeling, data warehousing & data lake concepts, and cloud data platforms.
- Ability to work independently and collaboratively in a client-facing environment.
- To accelerate successful outcomes and foster trust, the role may involve travel up to 20% of the time to collaborate with teams and stakeholders.
Tech Stack
- Cloud
- Java
- Python
- Go
Benefits
- Offers Equity