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Peraton

Runs and secures technology for federal agencies

Data Architect

Data Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • U.S. citizenship is required.
  • With a bachelor's degree, a minimum of 5 years of experience is required; with a master's degree, a minimum of 3 years is required; with a PhD, no years of experience are required.
  • Advanced SQL skills and experience querying large datasets are required.
  • Experience designing, creating, implementing, and optimizing database indexes to improve query performance is required.
  • Hands-on experience with database performance tuning, including analyzing query execution plans, identifying performance bottlenecks, optimizing SQL queries, and recommending solutions to improve database performance, is required.
  • Hands-on experience designing, developing, and supporting an Enterprise Data Warehouse is required.
  • Expertise in business analytics and translating complex data into clear, actionable insights for non-technical users is required.
  • Hands-on experience creating standard operating procedures and extensive workflow and process documentation is required.
  • The ability to obtain and maintain a T5/SSBI federally adjudicated clearance is required.

Responsibilities

  • Develop advanced T-SQL queries, stored procedures, functions, views, and triggers.
  • Review execution plans, indexing strategies, and performance plans.
  • Analyze, ingest, and/or correct data within an Enterprise Data Warehouse.
  • Develop and optimize data workflows and extract, transform, and load processes using Tableau Prep and Python.
  • Manage content, permissions, data sources, and performance tuning within Tableau and SQL Server.
  • Write complex SQL queries to extract, manipulate, and analyze structured and unstructured data.
  • Collaborate with business partners to understand data needs and deliver actionable insights.
  • Ensure data accuracy, consistency, and quality through validation and testing.
  • Support business intelligence governance, documentation, and best practices across the analytics environment.
  • Automate recurring reporting tasks using Python or SQL-based solutions.
  • Design, build, and maintain advanced dashboards and reports using Tableau.

Desired Qualifications

  • Expertise with Tableau Prep, Tableau Desktop, and Tableau Server administration.
  • Expertise with Databricks.
  • Working experience using Python for data cleaning, transformation, and automation.
  • Familiarity with artificial intelligence and machine learning.
  • Knowledge of application programming interfaces, scripting, or workflow orchestration tools.
  • Experience with version control systems such as Git.
  • Familiarity with data governance, metadata management, or enterprise business intelligence strategy.
  • Familiarity with cloud technologies such as AWS for data storage, compute, or analytics.

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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