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Solutions Architect – Consumer Packaged Goods, CPG

🕒 Outubro 21

🦌 Connecticut, Florida, +6 estados a mais – Remoto

infoinfo

💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🗣️🇺🇸🇬🇧 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 21

Ainda aberta no site da Databricks. Verificada 3 horas atrás.

Logo of Databricks

Databricks

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

• 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 spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions demonstrating Databricks' differentiation • Develop and declare an emerging technical specialization and become a go-to resource for the team • Orchestrate cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps • Participate in recruiter, hiring manager, design and architecture, live coding, build/demo/pitch, and reference check stages

🎯 Requisitos

• 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 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 for translating complex architectures into business value • 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

🏖️ Benefícios

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

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