Solutions Architect – Communications, Media, Entertainment and Games

🕒 il y a 23 jours

🗽 New York – Distant

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💵 $180 000 - $247 500 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

infoinfo

👻 Score fantôme 2%

infoinfo

🗣️🇺🇸🇬🇧 Anglais requis

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Databricks

1001 - 5000 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 €1 600 000 000 Series H en 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks est une entreprise spécialisée dans les données et l'IA, offrant une plateforme unifiée pour l'ingénierie des données, l'apprentissage automatique et l'analytique. Elle se concentre sur l'optimisation du traitement des grandes données et aide les organisations à tirer parti d'Apache Spark pour offrir des analyses plus approfondies et des applications puissantes basées sur les données. Databricks propose également des outils robustes et une intégration transparente pour les opérations d'apprentissage automatique.

Description

• Own end-to-end technical strategy for accounts from 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 • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions demonstrating Databricks’ differentiation • Develop and declare an emerging technical specialization and become a go-to resource for the team • Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions for complex customer needs • Influence product direction through structured feedback on customer requirements and competitive gaps

🎯 Exigences

• 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 demonstrated 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 considerations • 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

🏖️ Avantages

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with specific regional details provided by Databricks

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