Boeing
Boeing
Boeing एक वैश्विक एयरोस्पेस निर्माता और रक्षा कंपनी है, जो वाणिज्यिक विमानों, रोटरक्राफ्ट, रॉकेटों, उपग्रहों, दूरसंचार उपकरणों और मिसाइलों का विकास और उत्पादन करती है। इसके संचालन में Boeing Commercial Airplanes, Boeing Defense, Space & Security और Boeing Global Services शामिल हैं, जो बड़ी इंजीनियरिंग, विनिर्माण और सहायता टीमों को एक साथ लाते हैं। कंपनी NASA के साथ परियोजनाओं सहित एयरोस्पेस अनुसंधान और अन्वेषण पहलों में भी योगदान देती है, साथ ही कम उत्सर्जन वाली विमानन प्रौद्योगिकियों और अगली पीढ़ी के विमानों पर काम करती है। नौकरी तलाशने वालों के लिए Boeing एयरोस्पेस विनिर्माण, रक्षा, अंतरिक्ष प्रणालियों, इंजीनियरिंग, सेवाओं और संबंधित तकनीकी क्षेत्रों से जुड़े अवसर प्रदान करती है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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