Senior Forward Deployed Engineer

🕒 vor 7 Tagen

🏄 California – Remote

🏄 California – Remote

💵 $182.000 - $250.208 / Jahr

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 1%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 8 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 47 Tagen besetzt.

Jetzt Bewerben

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Databricks

WebsiteLinkedInAlle Stellen

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

• Work with customers to build and productionize solutions for data and AI challenges using the Databricks platform • Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development • Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integrations • Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications • Scope technical delivery work with engagement managers and customer input • Guide customers on architecture and design; bootstrap or implement customer projects • Ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices • Collaborate with Databricks technical teams, project managers, architects, and customer teams to deliver engagement components • Work with Engineering and Customer Support to provide product and implementation feedback and resolve engagement-specific issues • Embed with customer teams and engage stakeholders from technical individual contributors to executives • Contribute reusable accelerators, frameworks, and best practices that scale across accounts and influence the Databricks product roadmap • Train customers and support their technical needs to maximize the value of their data

🎯 Anforderungen

• 6+ years of experience in data engineering, data platforms and analytics, or software engineering • Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks • Working knowledge of at least two common cloud ecosystems: AWS, Azure, or GCP; expertise in at least one • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps, ML/AI models, and AI APIs • Experience designing and deploying performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces • Experience with technical project delivery, including managing scope, timelines, and measurable outcomes • Ability to translate complex concepts into actionable solutions • Documentation and white-boarding skills • Experience working with enterprise clients and managing conflicts across broad stakeholder groups • Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration • Willingness to travel to customers 20% of the time • Databricks Certification

🏖️ Vorteile

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks tailored to employees' regional needs • Equal employment opportunity and inclusive workplace practices

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