Senior Data Fabric Architect - Remote (Customer Subdomain)

GE Aerospace; Phoenix (AZ); Remote; USD 131,000 - 174,000; Full time

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. This role shapes scalable, secure, and high-performance architectures for customer-facing applications and analytics.

You will mentor engineers, establish standards, drive data integration across on-premises and cloud environments, govern data quality and privacy, and collaborate with product and business

Qualifications

• Minimum 5 years of professional experience in Data Architecture.
• Experience with data fabric, virtualization, cataloging, and metadata management.
• U.S. work authorization; no visa sponsorship provided.

Responsibilities

• Define, design, and evangelize data fabric architecture strategy and roadmap.
• Collaborate with product, leads, and stakeholders to translate data requirements.
• Develop and enforce data architecture standards, best practices, and guidelines.
• Drive integration of diverse data sources into a unified data fabric.
• Provide technical leadership and mentorship to engineers and teams.
• Identify and mitigate data-related risks including security and privacy.
• Stay updated on data fabric trends and best practices.
• Document architecture and processes for knowledge sharing.

Skills

Leadership

Communication

Problem solving

Cross-functional collaboration

Data governance

Education

Bachelor's degree in Computer Science, Engineering, IT

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. This role shapes scalable, secure, and high-performance architectures for customer-facing applications and analytics.

You will mentor engineers, establish standards, drive data integration across on-premises and cloud environments, govern data quality and privacy, and collaborate with product and business