Data Architect - Fleet Aviation Team

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 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

U.S. Citizenship required

Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field

Active security clearance or ability to obtain one

3+ years of experience in data architecture, data engineering, or data warehousing

Strong experience with:

• Python
• SQL
• Pandas
• PySpark
• NumPy
• Git
• Experience with data warehousing technologies such as:
  • Databricks
  • Redshift
  • BigQuery
  • Apache Hive
  • Experience developing and automating large-scale data environments
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is a plus

Experience designing conceptual, logical, and physical data models

Experience with cloud platforms including AWS, Azure, or GCP

Knowledge of modern data lake and data warehouse architectures

Experience with Apache Kafka, Airflow, Spark, NiFi, or similar technologies

Understanding of big data ecosystems and distributed computing frameworks

Experience supporting AI/ML workflows and analytics platforms

Knowledge of data governance, security, and compliance best practices

Experience with CI/CD pipelines and software development best practices

Experience supporting defense, aviation, aerospace, or mission-critical programs preferred