Solutions Architect, Hunter – Digital Native Business

🕒 Abril 29

🏄 California, Colorado, +5 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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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

• Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems • Work directly with prospective, greenfield customers on their 0 to 1 journey with Databricks • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows • Collaborate with fellow Solutions Architects, using your skills to support each other and our users • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community

🎯 Requisitos

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role • Experience building distributed data systems at scale • Comfortable programming in, and debugging, Python and SQL • Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them • 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

• Comprehensive benefits and perks • Annual performance bonus eligibility • Equity opportunities