Boeing
Boeing
Boeing ir globāls aviācijas un aizsardzības uzņēmums, kas izstrādā un ražo komerciālās lidmašīnas, rotoraparātus, raķetes, satelītus, telekomunikāciju iekārtas un raķešu ieročus. Tā darbība aptver Boeing Commercial Airplanes, Boeing Defense, Space & Security un Boeing Global Services, apvienojot lielas inženierijas, ražošanas un atbalsta komandas. Uzņēmums arī piedalās aviācijas pētniecībā un kosmosa izpētes iniciatīvās, tostarp projektos ar NASA, vienlaikus izstrādājot aviācijas tehnoloģijas ar mazākiem izmešiem un nākamās paaudzes gaisa kuģus. Darba meklētājiem Boeing piedāvā iespējas aviācijas ražošanā, aizsardzības nozarē, kosmosa sistēmu, inženierijas, pakalpojumu un citās saistītās tehniskajās jomās.

Senior Cloud Solution Architect at Boeing

Design scalable AWS data, AI, and analytics platforms at Boeing. Build reusable cloud frameworks, self-service architectures, and FinOps solutions.

Apraksts

  • Set the strategy and deliver reliable, scalable cloud platforms for data and analytics.
  • Create and roll out reusable frameworks for data and AI solutions.
  • Define architecture best practices, standards, and guidelines across the organization.
  • Design and implement self-service frameworks so business units can build compliant solutions.
  • Develop cloud economics frameworks to track costs and inform financial decisions.
  • Build hands-on proofs of concept and minimum viable products for critical capabilities.
  • Coordinate project communications, stakeholder reviews, cross-team alignment, and technical research.
  • Build working relationships with technology and consulting vendors, partners, and cross-functional teams, and hold them accountable.
  • Keep current with cloud and data architecture tools, technologies, and practices.
  • Work with cross-functional teams to translate business needs into reliable, scalable, secure, and cost-effective designs.

Prasības

  • 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, or Google Cloud architectures.
  • At least 5 years working with Apache Spark or Databricks.
  • At least 5 years building reusable cloud and data architecture frameworks, including self-service 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 environments and refactoring monoliths into microservices using DDD, event storming, strangler fig, transitional architectures, or related techniques.
  • At least 3 years in cloud economics, FinOps, or IT compliance roles.
  • At least 3 years designing solutions with machine learning, generative or agentic AI, deep learning, optimization, or other advanced AI techniques.
  • Preferred: Bachelor of Science or higher in engineering, computer science, mathematics, physics, chemistry, or another technical field from an accredited program.
  • Preferred: At least 5 years in manufacturing or aviation and aerospace.
  • Preferred: At least 3 years developing enterprise data ontologies and semantic models.
  • Preferred: At least 3 years building containerized and serverless architectures with Docker, Kubernetes, AWS Lambda, and Azure Functions.
  • Preferred: At least 2 years implementing self-service analytics platforms using modern BI tools and APIs.
  • Preferred: At least 3 years in data science, statistics, machine learning, and generative AI.
  • Preferred: At least 3 years in application integration, APIs, and microservices.
  • Candidates must pass the company’s conflict-of-interest assessment process.
  • Must meet U.S. export control requirements and qualify as a U.S. Person under 22 C.F.R. §120.62.
  • The employer does not sponsor employment visas.
  • Post-offer applicants and employees may be subject to drug testing when applicable criteria are met.
  • Language requirements: Not applicable.
  • Education: Not applicable.
  • Security clearance is not required.

Priekšrocības

  • Competitive base pay.
  • Variable compensation opportunities.
  • Health insurance.
  • Flexible spending accounts.
  • Health savings accounts.
  • Retirement savings plans.
  • Life and disability insurance programs.
  • Paid time away from work.
  • Unpaid time away from work.
  • Relocation assistance is not a negotiable benefit for this position.

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