Specialist Solutions Architect – Azure Infrastructure, AI Platform

🕒 Outubro 29

🏄 California – Remoto

🏄 California – Remote

💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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• Aberta há 12 dias.
• As vagas desta empresa costumam ser preenchidas em 47 dias.

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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

• Guide strategic customers through the full lifecycle of Databricks on Azure, from architectural design to production deployment • Architect and scale compute and networking infrastructure for AI workloads, enterprise LLM deployments, and high-performance GenAI applications • Advise customers on Azure infrastructure, Infrastructure-as-Code, cloud networking, and identity management • Drive technical wins in competitive scenarios through custom-built solutions • Coordinate DSAs, SAs, SSAs, and partners to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps • Serve as a trusted technical advisor on Databricks architecture, cloud infrastructure, and AI deployment patterns

🎯 Requisitos

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Hands-on experience architecting cloud infrastructure for AI/ML execution, including GPUs/TPUs, model serving infrastructure, vectorized data retrieval, and cloud performance/cost balancing • Advanced expertise in Azure security, networking, deployments, platform administration, observability, cost management, and identity protocols • Hands-on Infrastructure-as-Code automation using Terraform, Bicep, or ARM • 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 ability to achieve proficiency rapidly • Ability to lead architecture discussions with senior technical stakeholders • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Willingness to travel up to 30% • Databricks certifications, Microsoft Azure certifications, competitive platform experience, and data/AI or cloud-provider background are nice to have

🏖️ Benefícios

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (specific regional details provided by Databricks)

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