Remote Senior Data Fabric Architect for Customer Subdomain

GE Aerospace; Detroit (MI); Remote; USD 131,000 - 174,000; Full time

Benefits offered by this job

Remote work

Health benefits

401(k) plan

Job summary

GE Aerospace is seeking a highly experienced Sr Staff Data Fabric Architect to lead the design and implementation of data fabric solutions focused on enhancing customer experiences across CSCX.

This role shapes the future of our data architecture, ensuring scalability, security, and performance for critical customer-facing applications and analytics while aligning with governance and compliance standards.

Qualifications

• 5+ years of professional experience in Data Architecture.
• Experience designing and implementing data fabric solutions with data virtualization and data cataloging.
• Proven experience with cloud data platforms (AWS/Azure/GCP) and governance practices.

Responsibilities

• Define, design, and evangelize the data fabric architecture strategy for customer initiatives.
• Collaborate with product management, implementation leads, and stakeholders to translate data requirements into scalable solutions.
• Develop and enforce data architecture standards, best practices, and compliance guidelines.
• Integrate diverse data sources (on-prem, cloud, third-party) into a unified data fabric for apps and analytics.
• Provide technical leadership and mentorship to data engineers and teams.

Skills

Data architecture

Data virtualization

Data cataloging

Metadata management

Cloud platforms

Programming (Python/Java/Scala)

Data governance

Cross-functional leadership

Communication

Aerospace domain knowledge

Education

Bachelor's degree

Master's degree preferred

Tools

Denodo

Tibco Data Virtualization

Collibra

Alation

AWS

Azure

GCP

Python

Java

Scala

Job description

GE Aerospace is seeking a highly experienced Sr Staff Data Fabric Architect to lead the design and implementation of data fabric solutions focused on enhancing customer experiences across CSCX.

This role shapes the future of our data architecture, ensuring scalability, security, and performance for critical customer-facing applications and analytics while aligning with governance and compliance standards.