Senior Solution Engineer

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Snowflake

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake is a cloud-based data platform and data warehouse-as-a-service. It enables organizations to store, process, analyze, and share large volumes of structured and semi-structured data across multiple clouds, with separated scalable compute and storage, built-in security and data-sharing capabilities, and support for analytics and machine-learning workloads. Snowflake is delivered as a managed SaaS offering for enterprise customers and is primarily marketed and sold as a B2B product.

📋 Description

• Help Solution Providers/Practice Leads with the technical strategies that enables them to sell their offerings on Snowflake • Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging • Strong understanding of how SI make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services • Help develop and launch joint differentiated solution offerings with SI Partners • Conversations with other technologists, providing presentations at the C-level.

🎯 Requirements

• 5+ years industry experience designing, building and supporting large-scale systems in production. • Production level hands on expertise in developing and deploying PySpark or Scala and SQL to build ELT/data pipelines into production environments. Staying current with the latest Spark updates and best practices • Hands on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems. • Experience with integration platforms like Matillion, FiveTran, Informatica, dbtCloud etc. • Experience with database technologies • Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build • Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud • Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. • Experience with AI/ML use cases is a plus • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems. • Fluency in multiple programming languages is a big plus. • Knowledge of database internals is a plus. • Experience working with cross teams and product managers. • BS/MS/PhD in Computer Science or related majors.

🏖️ Benefits

• Excellent verbal and written communications skills in English