Resident Solutions Architect – Digital Native Business

🕒 il y a 18 jours

🏄 California, North Carolina, +7 états de plus – Distant

🏄 California – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $180 656 - $248 360 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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Databricks

Site WebLinkedInTous les Emplois

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

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases • Work with engagement managers to scope variety of professional services work with input from the customer • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Provide an escalated level of support for customer operational issues. • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

🎯 Exigences

• 6+ years experience in data engineering, data platforms & analytics • Comfortable writing code in either Python or Scala • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps • Design and deployment of performant end-to-end data architectures • Experience with technical project delivery - managing scope and timelines. • Documentation and white-boarding skills. • Experience working with clients and managing conflicts. • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

🏖️ Avantages

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options