Solutions Architect – Strategic High Tech

🕒 il y a 1 mois

🏄 California – Distant

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💵 $180 000 - $247 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

infoinfo

👻 Score fantôme 2%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

AWS

Azure

Cloud

Google Cloud Platform

Hadoop

Kafka

Pandas

Python

PyTorch

Scikit-Learn

Spark

SQL

Tensorflow

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Databricks

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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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