Solutions Architect – Strategic High Tech

🕒 2 dias atrás

🏄 California – Remoto

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💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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👻 Score fantasma 1%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Databricks

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 big data landscape by working with sophisticated data engineering and data science teams • Collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using Databricks' platform and APIs • Guide a major AI-native customer through the competitive landscape, best practices, and implementation • Develop technical champions among customers • Partner with the sales team and provide technical leadership to help customers understand how Databricks solves business problems • Consult on Big Data architectures • Implement proofs of concept for strategic projects spanning data engineering, data science, machine learning, and SQL analysis workflows • Validate integrations with cloud services, homegrown tools, and third-party applications • Collaborate with fellow Solutions Architects to support colleagues and users • Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects including Spark, Delta Lake, and MLflow • Report to the Field Engineering Manager

🎯 Requisitos

• 5+ 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 • Experience building solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow • Available to travel to customers in your region • [Desired] Degree in a quantitative discipline, such as Computer Science, Applied Mathematics, or Operations Research • Nice to have: Databricks Certification

🏖️ Benefícios

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details provided by Databricks • Equal employment opportunity and inclusive hiring practices

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