Nokia
Nokia
Nokia — телекоммуникацияларға, корпоративтік желілерге және цифрлық инфрақұрылымға бағытталған жаһандық B2B технологиялық компания. Компания қызмет провайдерлеріне, бизнеске және мемлекеттік сектор ұйымдарына адамдарды, машиналарды және құрылғыларды ауқымды түрде байланыстыруға көмектесетін қауіпсіз әрі орнықты желілік шешімдер әзірлейді. Оның жұмысына 5G, жасанды интеллект және кванттық есептеулерден кейінгі қауіпсіз желілер, сондай-ақ Nokia Bell Labs арқылы жүргізілетін зерттеулер мен ұзақ мерзімді технологиялық әзірлемелер кіреді. Nokia компаниясындағы жұмыс мүмкіндіктерін қарастыратын үміткерлер желілік инженерия, телекоммуникациялар, корпоративтік технологиялар, инфрақұрылым және озық зерттеулермен байланысты бағыттардан орын таба алады.

Nokia Senior Program Manager, PIC Data Engineering — Remote Nevada

Lead Nokia’s governed lakehouse, warehouse, and pipeline engineering for photonic integrated circuit operations. Build AI-ready data foundations that support analytics and connectivity innovation.

Сипаттама

  • Own the architecture and hands-on delivery of scalable cloud lakehouses and data warehouses for PIC operations
  • Use Databricks, AWS, or comparable platforms to meet Nokia’s operational data requirements
  • Shape, optimize, and evolve enterprise data models and semantic layers
  • Build and maintain reliable batch and real-time pipelines with ETL/ELT and streaming technologies
  • Define data quality frameworks, monitoring, and observability practices
  • Deliver CI/CD pipelines and advance DataOps practices
  • Lead data governance across cataloging, lineage, metadata, and access controls
  • Establish security protocols and role-based access management
  • Create governed, AI-ready data foundations for self-service analytics, AI-assisted discovery, and advanced analysis
  • Provide business, engineering, and analytics teams with secure access to trusted enterprise data
  • Develop infrastructure for AI, automation, machine learning, and advanced analytics programs
  • Mentor product engineers, set technical direction, and promote strong engineering practices
  • Promote data quality, accountability, self-service adoption, and continuous improvement

Талаптар

  • 15+ years of progressive experience in data engineering, data architecture, or a related discipline
  • Demonstrated success delivering solutions for wafer and chip fabrication processes
  • Bachelor’s degree
  • At least five years leading, developing, and motivating technical teams
  • Advanced SQL skills and deep experience with modern cloud data platforms and distributed processing frameworks
  • Practical experience with Databricks, Redshift, or BigQuery
  • Background building governed data platforms and products for self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads
  • Databricks lakehouse architecture, Unity Catalog, Genie, and Genie Code experience is strongly preferred
  • Strong command of enterprise and dimensional data modeling and semantic layer design
  • Experience with data orchestration and sophisticated pipeline automation
  • Ability to architect scalable, secure, governed, and dependable enterprise data solutions
  • Excellent communication and interpersonal skills
  • Proven ability to collaborate across business, engineering, analytics, and technology teams

Артықшылықтар

  • Company-supported laptop ordering
  • Remote work arrangement

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