Solutions Architect – Global Telecommunications

🕒 Agosto 27

🤠 Texas – Remoto

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💵 $219.100 - $301.300 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Engenheiro de Soluções

🦅 Patrocina Visto H1B

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👻 Score fantasma 2%

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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

• Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth • Own senior-level technical relationships and advise customers on enterprise data and AI strategy • Lead complex architecture engagements involving multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an expert on the Databricks Platform with a declared archetype, mentoring others and driving horizontal impact • Develop and execute competitive strategies positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams including DSAs, SSAs, Partners, and Product to deliver enterprise-grade solutions • Coach and develop junior SAs on technical depth, customer engagement, and use-case prioritization • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

🎯 Requisitos

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency in Python and SQL; ideally Spark/PySpark • Completion of a live coding assessment and platform build during the interview • Deep expertise in enterprise data architecture, including distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms • Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated rapid learning ability • Declared technical specialization with recognized depth • Proven track record of driving consumption growth and platform adoption in large accounts • Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Ability to travel to customers 30% of the time • Strong strategic thinking connecting technical architecture decisions to business outcomes and revenue impact • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Databricks certifications are nice to have • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company is nice to have • Published thought leadership is nice to have • Industry vertical expertise in telco is nice to have

🏖️ Benefícios

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

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