Data Architecture, Lead Associate

Peraton

$112K — $179K *
US-AnywhereRemote in United States
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • U.S. Citizenship required.
  • Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.
  • 4 years building and maintaining production data pipelines.
  • Strong proficiency in Python and SQL.
  • Hands-on ETL / data pipeline development with sound analytical data modeling.
  • Familiarity with cloud data platforms, particularly Azure (AWS or GCP acceptable).
  • 5 years work experience with BS/BA.

Responsibilities

  • Build, test, and maintain data ingestion, transformation, and pipeline code.
  • Extend the platform following architecture and standards set by the lead platform engineer.
  • Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines.
  • Monitor data quality, pipeline reliability, and performance; troubleshoot issues.
  • Apply data governance and access-control practices.
  • Support data science and ML teams with governed datasets and tooling.
  • Collaborate with the engineering team and document pipelines and processes.

Benefits

  • 100% remote work model.
  • Opportunity to engage in hands-on engineering in a high-trust environment.
  • Growth potential as the platform matures and ownership increases.
Full Job Description
Responsibilities

Peraton is hiring a Data Architecture, Lead Associate.  This work is 100% remote. 

 

This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward — growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built.

Active clearance preferred; candidates able to obtain one encouraged to apply.

  • Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.
  • Extend the platform following the architecture, patterns, and standards set by the lead platform engineer.
  • Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment.
  • Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues.
  • Apply data governance, cataloging, and access-control practices within the established framework.
  • Support the data science and ML team by delivering the governed datasets and tooling they need.
  • Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.
  • Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes.
Qualifications

Required Qualifications

  • U.S. Citizenship required.
  • Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.
  • 4 years building and maintaining production data pipelines.
  • Strong proficiency in Python and SQL.
  • Hands-on ETL / data pipeline development and sound analytical data modeling.
  • Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows.
  • Solid analytical, troubleshooting, and communication skills.
  • 5 years work experience with BS/BA

Preferred Qualifications

  • Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake).
  • Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.
  • Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling.
  • Active security clearance (T5/SSBI or higher).
  • Government or defense contracting experience.
  • Familiarity with data governance / cataloging tooling (e.g., Unity
  • Catalog) and orchestration tools (Airflow, dbt).

Soft Skills

  • Dependable, self-directed execution with minimal oversight.
  • Strong collaboration across technical and non-technical teams.
  • Clear documentation and knowledge-sharing.
  • Eagerness to grow ownership and learn the compliance environment.

#RDG

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

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