Senior Solutions Architect – Digital Native Business

🕒 vor 2 Monaten

🏄 California, Colorado, +2 weitere Bundesländer – Remote

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💵 $219.100 - $301.300 / Jahr

⏰ Vollzeit

🟠 Senior

💻 Lösungsingenieur

🦅 H1B-Visum-Sponsor

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👻 Geisterscore 6%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

Jetzt Bewerben
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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 Data & AI landscape by working with sophisticated data engineering and data science teams • Collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our 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 • Lead technical discovery and design architectures, implement proof of concepts for strategic projects across data engineering, data science, machine learning, and SQL workflows • Act as a strategic technical advisor to customers to help drive business outcomes • Collaborate with fellow Solutions Architects and support users • Become an expert in and promote Databricks inspired open-source projects across the developer community.

🎯 Anforderungen

• 7+ 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 • Have built solutions with public cloud providers such as AWS, Azure, or GCP • Expertise in Data Engineering technologies (Ex: Spark, Hadoop, Kafka) or Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow) • Available to travel to customers in your region • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Nice to have: Databricks Certification.

🏖️ Vorteile

• Competitive salary • annual performance bonus • equity • comprehensive benefits and perks

Jetzt Bewerben

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