Data Architect
Steerbridge
| Company | Steerbridge |
| Category | Data & Analytics |
| Location | Vienna |
| Remote | Hybrid |
| Employment | Full-time |
| Level | Lead |
| Salary | USD 130k–150k |
| Posted | 11 Jun 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (lever) |
Description
SteerBridge Strategies is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.
Position Overview
SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the aviation 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
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