
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).
🕒 Agosto 27
🤠 Texas – Remoto
💵 $219.100 - $301.300 / ano
⏰ Tempo Integral
🟠 Sênior
🔴 Especialista
💻 Engenheiro de Soluções
🦅 Patrocina Visto H1B
👻 Score fantasma 8%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Databricks, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship Agosto 27
Ainda aberta no site da Databricks. Verificada 4 horas atrás.

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).
• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth • Own senior-level technical relationships and advise customers on enterprise data and AI strategy • Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an expert on the Databricks Platform with a declared archetype, mentoring others and driving horizontal impact • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams including DSAs, SSAs, Partners, and Product to deliver enterprise-grade solutions • Coach and develop junior SAs on technical depth, customer engagement, and use-case prioritization • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Completion of a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, including distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms • Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated rapid learning ability • Declared technical specialization with recognized depth • Proven track record of driving consumption growth and platform adoption in large accounts • Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Ability to travel to customers 30% of the time • Strong strategic thinking connecting technical architecture decisions to business outcomes and revenue impact • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications are nice to have • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is nice to have • Published thought leadership is nice to have • Industry vertical expertise in telco is nice to have
• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details provided by Databricks)
Candidatar-seMelhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
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