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Boeing
Boeing
Sponsor pentru viza H1BConsultanțăIndustria aerospațialăIndustria prelucrătoare
Boeing este un producător global de produse aerospațiale și o companie de apărare care dezvoltă și produce aeronave comerciale, aeronave cu rotoare, rachete, sateliți, echipamente de telecomunicații și rachete. Operațiunile sale includ Boeing Commercial Airplanes, Boeing Defense, Space & Security și Boeing Global Services, reunind echipe numeroase de inginerie, producție și asistență. Compania contribuie, de asemenea, la inițiative de cercetare și explorare aerospațială, inclusiv proiecte derulate împreună cu NASA, urmărind în același timp dezvoltarea unor tehnologii aviatice cu emisii mai reduse și a aeronavelor de nouă generație. Pentru persoanele aflate în căutarea unui loc de muncă, Boeing oferă oportunități în domenii precum producția aerospațială, apărarea, sistemele spațiale, ingineria, serviciile și disciplinele tehnice conexe.
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Locurile de muncă ale companiei

Senior Cloud Solution Architect – Data and AI

Lead Boeing’s architecture for scalable data, AI, and AWS cloud platforms. Build reusable frameworks, self-service capabilities, and tools for managing cloud costs.

USStatele Unite ale AmericiiALAlabamaAZArizonaCACaliforniaCOColoradoFLFloridaILIllinoisMOMissouriOROregonPAPennsylvaniaSCCarolina de SudTXTexasVAVirginiaWAWashington
172.550 $ – 249.550 $ / an
HibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer de soluții
ApacheAWSAzureCloudMicroserviciiSpark

Descriere

  • Set strategy for reliable, scalable cloud platforms for data and analytics.
  • Build reusable frameworks for data and AI solutions.
  • Define architecture practices, standards, and guidelines.
  • Create self-service frameworks for compliant solutions across business units.
  • Develop frameworks to track and analyze cloud spending.
  • Build hands-on proofs of concept and minimum viable products to address critical capability needs.
  • Lead project communication and coordination, including stakeholder reviews, cross-team alignment, and technical research.
  • Develop relationships with technology and consulting vendors, partners, and cross-functional teams, and ensure they meet commitments.
  • Keep current with developments in cloud and data architecture, tools, and technologies.

Cerințe

  • At least 10 years of data architecture experience focused on data platforms and technologies.
  • At least 5 years designing and implementing scalable computing infrastructure for data solutions, including AWS, Azure, and Google Cloud architectures.
  • At least 5 years working with Apache Spark or Databricks.
  • At least 5 years building repeatable, reusable, self-service cloud and data architecture frameworks.
  • At least 5 years in data security, governance, and compliance, including encryption, role-based access, metadata management, and alignment with FedRAMP, NIST, and GDPR.
  • At least 5 years modernizing legacy technology for cloud-native environments and refactoring monoliths into microservices using DDD, event storming, the strangler fig pattern, and transitional architectures.
  • At least 3 years in cloud economics, FinOps, or IT compliance.
  • At least 3 years designing solutions that use machine learning, generative AI, agentic AI, deep learning, optimization, or other advanced AI techniques.
  • Must successfully complete the company’s conflict-of-interest assessment.
  • Must meet U.S. export control requirements as a U.S. Person.
  • The employer will not sponsor employment visas.
  • Preferred: Bachelor of Science or higher in engineering, computer science, mathematics, physics, chemistry, or another technical field.
  • Preferred: At least 5 years of experience in manufacturing or the aviation and aerospace industries.
  • Preferred: Experience with enterprise data ontologies, semantic models, containerized or serverless architectures, self-service analytics platforms, data science, statistics, machine learning, generative AI, application integration, APIs, and microservices.
  • Post-offer applicants and employees may be subject to drug testing, where applicable.

Beneficii

  • Competitive base pay
  • Variable compensation opportunities
  • Health insurance
  • Flexible spending accounts
  • Health savings accounts
  • Retirement savings plans
  • Life and disability insurance programs
  • Paid and unpaid time away from work

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