Solutions Architect – Strategic High Tech

🕒 vor 1 Monat

🏄 California – Remote

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💵 $180.000 - $247.500 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 2%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Databricks

1001 - 5000 Mitarbeiter

Gegründet 2013

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

💰 €1.600.000.000 Series H im 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks ist ein Daten- und KI-Unternehmen und bietet eine einheitliche Plattform für Data Engineering, Machine Learning und Analytics. Der Schwerpunkt liegt auf der Optimierung der Big-Data-Verarbeitung. Databricks unterstützt Organisationen dabei, Apache Spark zu nutzen, um tiefere Erkenntnisse und leistungsstarke, datengetriebene Anwendungen bereitzustellen. Zudem stellt Databricks robuste Tools und eine nahtlose Integration für MLOps (Machine Learning Operations) bereit.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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