Senior Forward Deployed Engineer

🕒 4 dias atrás

🏄 California, Washington – Remoto

🏄 California – Remote ☕ Washington – Remote

💵 $182.000 - $250.208 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

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Databricks

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2013

🤖 Inteligência Artificial

🏢 Corporativo

☁️ SaaS

💰 $1.600.000.000 Series H em 2021-08

Artificial Intelligence • Enterprise • SaaS

A Databricks é uma empresa de dados e IA que oferece uma plataforma unificada para engenharia de dados, machine learning e analytics. Focada em otimizar o processamento de big data, ajuda organizações a aproveitar o Apache Spark para gerar insights mais profundos e criar aplicações poderosas orientadas por dados. A Databricks também disponibiliza ferramentas robustas e integração perfeita para operações de machine learning (MLOps).

Descrição

• Work with customers to build and productionize solutions to their data and AI challenges using the Databricks platform • Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development • Work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations • Integrate with client systems, provide training, and address other technical needs to maximize customer value from data • Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, data ingestion, and ML/AI model integration • Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications • Work with engagement managers to scope technical delivery work with customer input • Guide customers on architecture and design; bootstrap or implement customer projects • Lead architecture and design decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices • Collaborate with Databricks technical teams, Project Managers, Architects, and customer teams to deliver engagement components • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and resolve engagement-specific issues • Embed with customer teams and engage stakeholders from technical individual contributors to executives • Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap

🎯 Requisitos

• 6+ 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, including managing scope, timelines and measurable outcomes • Ability to translate complex concepts into actionable solutions • Documentation and white-boarding skills • Experience working with enterprise clients and managing conflicts across a broad stakeholder range • Curiosity, adaptability, and eagerness to explore new technologies supporting Databricks-based solutions • Travel to customers 20% of the time • Databricks Certification

🏖️ Benefícios

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks; specific regional details available via Databricks benefits information