Data Platform Analytics Architect

🕒 Setembro 2

🌽 Illinois, North Carolina, +2 estados a mais – Remoto

🌽 Illinois – Remote 🌲 North Carolina – Remote 🚗 Michigan – Remote 🤠 Texas – Remote

💵 $128.800 - $302.400 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 3%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Hewlett Packard Enterprise

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏢 Corporativo

🔧 Hardware

🤖 Inteligência Artificial

💰 $1.500.000.000 Post-IPO Equity - Hewlett Packard Enterprise em 2025-04

Enterprise • Hardware • Artificial Intelligence

LinkedIn oficial da Hewlett Packard Enterprise, a empresa global de edge-to-cloud. Compartilhando nossa paixão e propósito por meio da tecnologia e inovação.

Descrição

• Lead data-centric architecture discussions based on customer data, applications, analytics requirements, and workloads • Design modern analytics, data lake, and data Lakehouse architectures • Identify and develop opportunities involving Vertica, SingleStore, Cloudera, Splunk, Elastic, and X10K • Assess traditional enterprise data warehouse environments and identify modernization candidates • Develop migration and modernization strategies, including phased approaches • Scope and size enterprise analytics environments based on data volumes, ingest rates, retention, SLAs, and functional requirements • Lead technical discovery sessions and translate business objectives into scalable architectures • Serve as a trusted advisor during architecture and platform transformation discussions • Partner with sales, Product Management, engineering, performance teams, ISVs, solution teams, and strategic ecosystem partners • Develop validated solutions, best practices, reference architectures, sizing methodologies, deployment patterns, competitive plays, and migration patterns • Enable field sales and presales teams to identify, qualify, position, and architect analytics opportunities • Influence the X10K analytics roadmap and product direction

🎯 Requisitos

• 8+ years of experience in technical presales, solutions architecture, enterprise architecture, database architecture, or data engineering • Strong understanding of enterprise analytics and modern data architectures • Experience designing or supporting large-scale analytics environments • Strong understanding of analytical database characteristics, including data ingestion, query processing, concurrency, data distribution, partitioning, performance, and capacity scaling • Experience with one or more enterprise analytics platforms such as Vertica, SingleStore, Cloudera, Teradata, or Oracle/Exadata • Ability to lead architecture discussions from data and workload requirements • Ability to map end-to-end data flows across ingestion, transformation, storage, analytics, and consumption • Experience evaluating modernization strategies for traditional database or data warehouse environments • Ability to understand and evaluate performance requirements for large-scale analytical workloads • Proven ability to lead customer discovery and translate business and technical requirements into solution architectures • Strong communication skills with technical and executive audiences

🏖️ Benefícios

• Comprehensive benefits suite supporting physical, financial, and emotional wellbeing • Health and wellbeing benefits • Personal and professional development programs • Flexible work arrangements to manage work and personal needs • Inclusive workplace culture