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SteerBridge

Posted 3 months ago

Open

Data Architect (Mid-Level)

ViennaOn-siteFull-time

AI Summary

Data Architect (Mid-Level) designs and maintains scalable data systems for aircraft maintenance, logistics, and performance analysis within a defense-focused environment.

About this role

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.

We are seeking a skilled Data Architect (Mid-Level) to support operations and sustainment of the F-35 and C-130 aircraft programs. This role focuses on designing, implementing, and maintaining scalable data systems that support aircraft maintenance, logistics, performance analysis, and mission readiness.
The ideal candidate brings strong hands-on experience in data architecture and engineering, works independently on complex technical tasks, and collaborates effectively with cross-functional teams in a defense-focused environment.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
  • Required Qualifications

  • Must be a U.S. Citizen
  • Bachelor’s Degree in Systems Engineering, Computer Science, or related field (Master’s preferred)
  • Active security clearance or ability to obtain one
  • 5–8 years of relevant experience, including:
  • Data management and analytics platforms using Python
  • Data warehousing technologies Redshift, Databricks, BigQuery, Oracle ADW, Hive)
  • Scripting and automation in large-scale computing environments.
  • Strong working knowledge of Python, Pandas, PySpark, NumPy, SQL, Git
  • Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn) is a plus
  • Skills

    BigQueryDatabricksData WarehousingGitHiveNumPyOracle ADWPandasPySparkPythonPyTorchRedshiftSciKit-LearnScripting And AutomationSQLTensorFlow

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