Solutions Architect – Digital Native Business, Named Accounts

🔥 23 horas atrás

🏄 California, Colorado, +3 estados a mais – Remoto

🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🌲 Oregon – 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

• Shape the future of the big data landscape by working with sophisticated data engineering and data science teams • Collaborate with existing Digital Native Business customers, product teams, and the broader customer-facing team to develop architectures and solutions using Databricks’ platform and APIs • Guide customers through the competitive landscape, best practices, and implementation • Develop technical champions among customers • Partner with the sales team and provide technical leadership to explain how Databricks can solve customers’ business problems • Consult on Big Data architectures and implement proofs of concept for strategic 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 • Promote Databricks open-source projects, including Spark, Delta Lake, and MLflow, and recruit developer-community contributors

🎯 Requisitos

• 5+ years in data engineering, data science, technical architecture, or a 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 the candidate’s region • Degree in a quantitative discipline is desired, not required • Databricks Certification is nice to have

🏖️ Benefícios

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details are provided via the employer’s benefits information