Solutions Architect – Digital Native Business, Fintech

🕒 vor 13 Tagen

🏄 California, Illinois, +6 weitere Bundesländer – Remote

infoinfo

💵 $180.000 - $247.500 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🗣️🇺🇸🇬🇧 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

• Own end-to-end technical strategy for accounts from discovery through production deployment and consumption growth • Lead architecture discussions for scalable production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Advise customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions • Develop and declare an emerging technical specialization • Coordinate DSAs, SSAs, and partners to deliver comprehensive customer solutions • Provide structured customer and competitive feedback to influence product direction • Demonstrate Databricks platform solutions through design, live coding, debugging, solution-building, and presentation interviews

🎯 Anforderungen

• 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 on 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 • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications, competitive platform experience, data/AI company or cloud provider background, and industry domain expertise listed as nice to have • If access to export-controlled technology or source code is required, employment may depend on U.S. government license approval

🏖️ Vorteile

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks • Region-specific employee benefits

Jetzt Bewerben

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🗣️🇺🇸🇬🇧 Englisch erforderlich