
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).
🕒 Novembro 2
🏄 California – 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 Novembro 2
Ainda aberta no site da Databricks. Verificada 3 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).
• Partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks Platform • Serve as a trusted technical advisor to customers • Define and influence technical execution strategies across complex use cases and multiple workstreams • Lead architecture discussions and guide technical decisions • Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs • Build and demonstrate working solutions, prototypes, and reusable technical assets • Establish best practices for security, governance, and operational excellence • Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes • Partner with Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery • Mentor peers and contribute reusable technical guidance, frameworks, and enablement
• 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role • Experience influencing technical strategy and architecture across complex customer use cases or multiple workstreams • Strong coding proficiency in Python, SQL, Scala, or similar languages • Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures • Experience designing secure, governed, scalable, and production-ready data solutions • Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation • Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders • Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization • Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership • Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority • Bachelor's degree in Computer Science, Engineering, or equivalent experience • Databricks experience or certification (nice to have) • Developing expertise in AI/ML, data engineering, streaming, data warehousing, governance, or migrations (nice to have) • Experience with AWS, Azure, or GCP and production cloud deployments (nice to have) • Experience creating reusable technical frameworks, demos, or enablement (nice to have)
• Annual performance bonus eligibility • Equity eligibility • Benefits and perks (specific regional details provided via employer benefits documentation) • Up to 30% travel as needed
Candidatar-seMelhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.
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