Senior Data Fabric Architect - Remote Lead for Customer

GE Aerospace; Seattle (WA); Remote; USD 131,000 - 174,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Tuition assistance

Parental leave

Job summary

GE Aerospace is seeking a senior staff Data Fabric Architect to lead design and implementation of data fabric solutions, focusing on customer-centric data initiatives. You will shape scalable, secure architectures for customer-facing applications and analytics while mentoring engineers and aligning with governance.

The role emphasizes collaboration with product teams, compliance, and industry best practices to ensure robust data platforms and governance.

Qualifications

• Bachelor’s degree or higher with 5+ years in Data Architecture.
• Experience designing and implementing data fabric solutions.
• Proven ability to lead complex technical projects and guide teams.

Responsibilities

• Define and evangelize data fabric architecture strategy and roadmap.
• Collaborate with product and stakeholders to translate data requirements into scalable solutions.
• Enforce data architecture standards, quality, and governance across data assets.
• Integrate diverse data sources into a unified data fabric for applications and analytics.
• Provide technical leadership and mentorship to data engineers and developers.
• Identify and mitigate data-related risks including security and privacy.

Skills

Data Architecture

Data Governance

Data Quality

Data Security

Data Privacy

Leadership

Stakeholder Communication

Python

Java

Scala

Education

Bachelor's degree in Computer Science, Engineering, Information Technology or related field

Master's degree preferred

Tools

Denodo

Tibco Data Virtualization

Collibra

Alation

AWS

Azure

GCP

Snowflake

Databricks

Job description

GE Aerospace is seeking a senior staff Data Fabric Architect to lead design and implementation of data fabric solutions, focusing on customer-centric data initiatives. You will shape scalable, secure architectures for customer-facing applications and analytics while mentoring engineers and aligning with governance.

The role emphasizes collaboration with product teams, compliance, and industry best practices to ensure robust data platforms and governance.