Senior Data Fabric Architect - Remote

GE Aerospace

Boise (ID)

A distancia

USD 131.000 - 174.000

Jornada completa

Hace 4 días
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Descripción de la vacante

GE Aerospace is seeking a Sr Staff Data Fabric Architect to lead design and implementation of data fabric solutions focused on customer experiences. You will shape the data architecture, ensuring scalability, security, and performance for customer-facing applications and analytics.

The role requires strong leadership, collaboration with product teams, and deep experience with data virtualization, cataloging, and cloud platforms.

Formación

  • Bachelor’s degree and 5+ years in Data Architecture
  • Proven expertise in data fabric solutions with virtualization, cataloging and metadata tools
  • Experience leading complex data initiatives in aerospace/manufacturing is a plus

Responsabilidades

  • Define and evangelize data fabric architecture strategy and roadmap
  • Collaborate with product leads and stakeholders to translate data requirements into scalable solutions
  • Develop and enforce data architecture standards and governance
  • Integrate diverse data sources into unified data fabric for apps and analytics
  • Provide technical leadership and mentorship to data teams
  • Identify and mitigate data-related risks, including security and privacy
  • Stay updated on data fabric trends and best practices
  • Document architectures and processes for knowledge sharing

Conocimientos

Data architecture
Data fabric
Cloud platforms
Data virtualization
Data cataloging
Metadata management
Programming (Python/Java/Scala)
Data governance
Data security
Leadership

Educación

Bachelor's degree
Master's degree preferred

Herramientas

Denodo
Tibco Data Virtualization
Collibra
Alation
AWS
Azure
GCP
Python
Java
Scala

Descripción del empleo

GE Aerospace is seeking a Sr Staff Data Fabric Architect to lead design and implementation of data fabric solutions focused on customer experiences. You will shape the data architecture, ensuring scalability, security, and performance for customer-facing applications and analytics.

The role requires strong leadership, collaboration with product teams, and deep experience with data virtualization, cataloging, and cloud platforms.

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