Senior Solutions Architect – Digital Native Business

🕒 Julho 22

🏄 California, Colorado, +2 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote ☕ Washington – Remote

💵 $219.100 - $301.300 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Shape the future of the Data & AI landscape by working with sophisticated data engineering and data science teams • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs • Guide customers through the competitive landscape, best practices, and implementation while developing technical champions • Partner with the sales team and provide technical leadership • Lead technical discovery and design architectures, implement proof of concepts for strategic projects across data engineering, data science, machine learning, and SQL workflows • Act as a strategic technical advisor to customers to help drive business outcomes • Collaborate with fellow Solutions Architects and support users • Become an expert in and promote Databricks inspired open-source projects across the developer community.

🎯 Requisitos

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role • Experience building distributed data systems • Comfortable programming in and debugging Python and SQL • Have built solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow) • Available to travel to customers in your region • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Nice to have: Databricks Certification.

🏖️ Benefícios

• Competitive salary • annual performance bonus • equity • comprehensive benefits and perks