Specialist Solutions Architect – Data Engineering, Warehousing

🕒 Outubro 29

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $180.000 - $247.500 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

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• Aberta há 12 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

• Own end-to-end technical strategy for accounts from discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade data engineering and real-time analytics solutions • Advise customer architects, engineering leads, and Directors as a trusted technical advisor • Drive technical wins in competitive scenarios by demonstrating Databricks differentiation through custom-built solutions • Develop and declare an emerging technical specialization and become a go-to resource for the team • Orchestrate DSAs, SAs, and partners to deliver comprehensive solutions for complex customer needs • Influence product direction through structured feedback on customer requirements and competitive gaps • Participate in recruiter, hiring manager, design and architecture, live coding, presentation, and reference check stages

🎯 Requisitos

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Deep hands-on experience with Apache Spark ecosystem, including Spark Core, Spark SQL, Spark Streaming, message queues such as Kafka, batch ingestion, performance tuning, and troubleshooting complex Spark workloads • Experience building or supporting data-driven use cases, predictive analytics pipelines, or customer analytics platforms • Experience migrating EDW workloads across OLAP/OLTP systems, including advanced query tuning, governance, and MPP debugging • 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 developing technical specialization • Ability to lead architecture discussions with senior technical stakeholders through 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 • Willingness to travel up to 30% as needed • Databricks certifications, competitive platform experience, data/AI company or cloud provider background, and industry domain expertise are nice to have

🏖️ Benefícios

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks tailored to employees' regional needs

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