Data Architect

SteerBridge 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

Required Qualifications

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 with demonstrated ownership of enterprise data warehouse design.

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

Preferred Qualifications

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

Required Qualifications

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 with demonstrated ownership of enterprise data warehouse design.

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

Preferred Qualifications