Senior Partner Solution Engineer

🕒 Fevereiro 4

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Snowflake

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2012

💼 Consultoria

📣 Marketing

Consulting • Marketing • Cloud Computing

A Snowflake é uma empresa de data warehousing em nuvem que oferece uma plataforma inovadora para armazenamento, processamento e analytics de dados. Ela permite que as organizações lidem com grandes volumes de dados de forma eficiente, facilitando insights e Business Intelligence. A arquitetura da Snowflake suporta diversas cargas de trabalho de dados, tornando-a uma solução versátil para empresas que buscam alavancar seus dados na tomada de decisões estratégicas.

Descrição

• 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.

🎯 Requisitos

• 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. • Excellent verbal and written communications skills in English.

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Remote work options