
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.
🕒 vor 15 Tagen
🏄 California, New York – Remote
💵 $180.000 - $247.500 / Jahr
⏰ Vollzeit
🟡 Mittelstufe
🟠 Senior
💻 Lösungsingenieur
🦅 H1B-Visum-Sponsor
👻 Geisterscore 1%
🗣️🇺🇸🇬🇧 Englisch erforderlich
Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

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.
• Own the end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions • Develop and declare an emerging technical specialization (archetype) • Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps
• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building • Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficiency in the Databricks Platform or ability to achieve proficiency rapidly • Developing technical specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations • Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value • Ability to travel to customers 30% of the time • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications are nice to have • Experience with Snowflake, AWS native services, or Azure Synapse is nice to have • Background in a data/AI company or cloud provider is nice to have • Industry domain expertise is nice to have
• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details are provided via the benefits link • Equal employment opportunity and inclusive culture
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