Forward Deployed Engineer

🕒 il y a 14 jours

🏈 Ohio – Distant

🏈 Ohio – Remote

💵 $152 900 - $210 155 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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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

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration • Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer • Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. • 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. • Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

🎯 Exigences

• 5+ years experience in data engineering, data platforms & analytics, or software engineering • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks • 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, ML/AI models and AI APIs • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. • Documentation and white-boarding skills. • Experience working with enterprise clients and managing conflicts across a broad stakeholder range • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. • Travel to customers 20% of the time • Databricks Certification

🏖️ Avantages

• Databricks is committed to fair and equitable compensation practices. • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.