Senior Solutions Engineer – Digital Native Business, Named Accounts

🔥 23 horas atrás

🐊 Florida, New York, +4 estados a mais – Remoto

🐊 Florida – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚔️ Virginia – Remote

💵 $152.300 - $209.450 / 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 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, while developing technical champions • Partner with the sales team and provide technical leadership to help customers understand how Databricks can solve business problems • Consult on Big Data architectures • Implement proofs of concept for strategic data engineering, data science, machine learning, and SQL analysis projects • Validate integrations with cloud services, home-grown tools, and third-party applications • Collaborate with fellow Solutions Architects to support users and colleagues • 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

• 3+ 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, not required

🏖️ Benefícios

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