Solutions Architect – Strat Media

🕒 Agosto 5

🏄 California – Remoto

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💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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👻 Score fantasma 1%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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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 the end-to-end technical strategy for accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions 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 • Develop and declare an emerging technical specialization (archetype) • Orchestrate DSAs, SSAs, and Partners to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps

🎯 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, with a technical specialization • 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 • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value • Ability to travel to customers 30% of the time • 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

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks, with specific regional details provided via the employer's benefits document

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