Remote Senior Data Fabric Architect for Customer Subdomain

GE Aerospace; Honolulu (HI); 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 emphasizes scalability, security, and performance for customer-facing applications and analytics.

Responsibilities include defining architecture strategy, collaborating with product management and stakeholders, enforcing standards, integrating diverse data sources, and mentoring teams on data fabric

Qualifications

• Bachelor’s degree or higher with 5+ years in Data Architecture.
• Minimum 5 years of professional experience in Data Architecture.
• Military experience is equivalent to professional experience.
• Proven expertise in designing and implementing data fabric solutions with data virtualization, data cataloging, and metadata management tools.

Responsibilities

• Define, design, and evangelize the data fabric architecture strategy and roadmap for customer-centric data initiatives across CSCX.
• Collaborate with product management, implementation leads, and business stakeholders to translate data requirements into scalable data fabric solutions.
• Develop and enforce architecture standards, best practices, and guidelines for data assets.

Skills

Data Architecture

Data Governance

Data Security

Data Privacy

Cloud Platforms

Python/Java/Scala

Stakeholder Communication

Leadership

Education

Bachelor's degree

Associate degree

High School Diploma

Tools

Denodo

Tibco Data Virtualization

Collibra

Alation

Metadata Management Tools

AWS

Azure

GCP

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 emphasizes scalability, security, and performance for customer-facing applications and analytics.

Responsibilities include defining architecture strategy, collaborating with product management and stakeholders, enforcing standards, integrating diverse data sources, and mentoring teams on data fabric