
Data Architect - Fleet Aviation Team
Job Description
Position Overview
SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the F-35 and C-130 aircraft programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives.
The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.
Responsibilities
- Design and implement scalable data architectures and data models
- Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives
- Build and maintain cloud-based data platforms and warehousing solutions
- Support data integration across multiple structured and unstructured data sources
- Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives
- Implement data governance, security, and quality standards
- Monitor and optimize database performance, scalability, and reliability
- Support modernization efforts and migration of legacy data environments
Position Overview
SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the F-35 and C-130 aircraft programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives.
The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems.
Responsibilities
- Design and implement scalable data architectures and data models
- Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives
- Build and maintain cloud-based data platforms and warehousing solutions
- Support data integration across multiple structured and unstructured data sources
- Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives
- Implement data governance, security, and quality standards
- Monitor and optimize database performance, scalability, and reliability
- Support modernization efforts and migration of legacy data environments