Senior Data Fabric Architect - Remote, Customer Focused

GE Aerospace; Chicago (IL); Remote; USD 131,000 - 174,000; Full time

Benefits offered by this job

Remote position

Job summary

GE Aerospace seeks a Senior Staff Data Fabric Architect to lead design and implementation of data fabric solutions focused on customer experiences. This role shapes scalable, secure architectures for critical customer-facing applications and analytics, partnering with product managers and engineers to align data strategy with business goals.

The role requires deep expertise in data virtualization, data cataloging, cloud platforms, and governance.

Qualifications

• Minimum 5 years of professional experience in data architecture.
• Experience designing and implementing data fabric solutions.
• Proven expertise with data virtualization, data cataloging, and metadata management tools.

Responsibilities

• Define, design, and evangelize the data fabric architecture strategy and roadmap for customer initiatives across CSCX.
• Collaborate with product management and stakeholders to translate data requirements into scalable data fabric solutions.
• Develop and enforce data architecture standards and guidelines for data assets.
• Drive the integration of diverse data sources into a unified data fabric for various applications.
• Provide technical leadership and mentorship to data engineers and development teams.
• Identify and mitigate data-related risks ensuring regulatory compliance.
• Document data fabric architecture and processes for knowledge sharing.

Skills

Data architecture

Data fabric

Cloud platforms

Programming (Python/Java/Scala)

Stakeholder communication

Education

Bachelor’s degree

Associates degree

High School Diploma

Tools

Denodo

Tibco Data Virtualization

Collibra

Alation

Metadata management tools

Job description

GE Aerospace seeks a Senior Staff Data Fabric Architect to lead design and implementation of data fabric solutions focused on customer experiences. This role shapes scalable, secure architectures for critical customer-facing applications and analytics, partnering with product managers and engineers to align data strategy with business goals.

The role requires deep expertise in data virtualization, data cataloging, cloud platforms, and governance.