Resident Solutions Architect – Digital Native Business

🕒 il y a 3 jours

🏄 California – Distant

🏄 California – 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 with clients on short to medium term customer engagements on big data challenges using the Databricks platform. • Provide data engineering, data science, and cloud technology projects integrating with client systems. • Report to the regional Manager/Lead. • Design and build reference architectures, create how-to's and productionalize customer use cases. • Work with engagement managers to scope professional services work with input from customers. • Guide strategic customers in implementing transformational big data projects, including end-to-end design, deployment, and support. • Collaborate with the Databricks technical team to ensure technical components of engagement are delivered as needed.

🎯 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. • Databricks Certification.

🏖️ Avantages

• Databricks is committed to fair and equitable compensation practices. • Actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications and training, and specific work location. • The total compensation package may also include eligibility for annual performance bonus, equity, and other benefits.