Solutions Architect – Retail, Consumer Goods, Travel & Hospitality

🕒 vor 14 Tagen

🗽 New York, Michigan – Remote

infoinfo

💵 $180.000 - $247.500 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

💻 Lösungsingenieur

🗣️🇺🇸🇬🇧 Englisch erforderlich

Jetzt Bewerben
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Logo of Databricks

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 initial discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics • Advise customer architects, engineering leads, and Directors • Demonstrate Databricks’ differentiation through custom-built solutions in competitive scenarios • Develop and declare an emerging technical specialization • Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions • Provide structured customer and competitive feedback to influence product direction • Participate in recruiter, hiring manager, design and architecture, live coding, build/demo/pitch, and reference check stages

🎯 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 one 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 for technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications, experience with competitive platforms, data/AI company or cloud provider background, and industry domain expertise are nice to have

🏖️ Vorteile

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks (specific details vary by region)

Jetzt Bewerben

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