
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).
🕒 Outubro 29
🌽 Illinois, Ohio, +1 estados a mais – Remoto
💵 $180.000 - $247.500 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
💻 Engenheiro de Soluções
🦅 Patrocina Visto H1B
👻 Score fantasma 1%
🗣️🇺🇸🇬🇧 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 Outubro 29
Ainda aberta no site da Databricks. Verificada 39 minutos 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).
• Lead the technical strategy for customers and own architecture discussions • Drive Databricks platform adoption and serve as a trusted advisor to customer technical leads and architects • Own end-to-end technical strategy for accounts from initial discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics • Demonstrate Databricks differentiation through custom-built solutions in competitive scenarios • Develop and declare an emerging technical specialization • Orchestrate cross-functional resources, including DSAs, SSAs, and Partners, to deliver comprehensive solutions • Provide structured feedback on customer requirements and competitive gaps to influence product direction
• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building • Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficiency on the Databricks Platform or demonstrated ability to achieve proficiency rapidly • Developing technical specialization in one area, such as real-time/streaming, ML/AI, data governance, or migrations • Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills and ability to translate complex architectures into business value for technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications are nice to have • Experience with Snowflake, AWS native services, or Azure Synapse is nice to have • Background in a data/AI company or cloud provider is nice to have • Industry domain expertise is nice to have
• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details linked in the posting)
Candidatar-seMelhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
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