845,924open jobs
53,875companies
143,390added this week
Browse all
Salary
$104k – $166k per year
Location
Hybrid (Suitland, United States)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Peraton.com is the corporate site for Peraton which is a national security and technology company serving government and critical infrastructure customers. It provides mission support systems engineering cyber space and communications solutions along with specialized services for defense intelligence civil and commercial sectors.

Responsibilities

Peraton is seeking an experienced Lead Data Architect to join our team of qualified and diverse individuals.

This position supports Peraton's federal customer as part of an application transformation and modernization initiative.

This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization.

As a Lead Data Architect at Peraton, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program.

You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise.

Location: Suitland, MD (Hybrid)

Day to Day Roles and Responsibilities:

  • Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program
  • Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms
  • Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches
  • Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems
  • Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements
  • Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities
  • Support real-time and streaming architectures using event-driven processing and distributed messaging systems
  • Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs)
  • Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF
  • Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions
  • Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards
  • Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms
  • Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements
  • Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M)
  • Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams
  • Mentor architects and engineering teams while promoting consistency, governance, and technical excellence

Qualifications

Basic Qualifications:

  • Bachelors degree and 12 years of experience or an Associates degree and 14 years of experience or a High School diploma/equivalent and 16 years of experience
  • Must be a U.S. Citizen with the ability to obtain a Public Trust clearance
  • 10+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives
  • Proven experience designing enterprise data architectures for large-scale, distributed systems environments
  • Experience operating within Agile and SAFe/scaled Agile delivery frameworks
  • Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms
  • Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures
  • Experience implementing metadata management, lineage, catalogs, and governance frameworks
  • Experience with system-of-systems integration, APIs, interface management, and distributed architectures
  • Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance
  • Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake
  • Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks
  • Experience with cloud-native data services across AWS and Azure environments
  • Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation
  • Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support
  • Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms
  • Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems

Preferred Qualifications:

  • Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks
  • Experience supporting statistical and similarly large-scale federal modernization programs
  • Experience with large-scale real-time analytics or event-streaming environments
  • Experience implementing enterprise AI governance or advanced analytics frameworks
  • Experience supporting DataOps or platform engineering initiatives

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$104,000 - $166,000. 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.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
845,924 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Suitland
≈ $58k – $147k per year (Estimated) • In office • 3+ years exp • London
Python
Databases
DuckDB
AI/ML
Polars
Scikit-learn
SciPy
Function Calling
AI Agents
NumPy
LLM
Context Engineering
LLM Evaluation
LLM Guardrails
Tool Use
DevOps
CI/CD
Apply
Senior Data Scientist 25 days ago
$100k – $132k per year • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • United States
Python
R
Databases
Snowflake
Amazon Redshift
AI/ML
Scikit-learn
Amazon SageMaker
Machine Learning
DevOps
AWS
Apply
$132k – $179k per year • Equity • In office • Full-Time • 3+ years exp • Seattle
Python
SQL
Perl
Databases
Amazon Redshift
DevOps
AWS
AWS Lambda
Amazon S3
IAM
Amazon Kinesis
Analytics
ETL/ELT
AWS Glue
Apply
≈ $123k – $255k per year (Estimated) • Equity • Remote (Poland) • Full-Time • 5+ years exp
SQL
Apex
Apex
MuleSoft
Databases
Snowflake
Databricks
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Model Context Protocol
RAG
Anthropic
Agentforce
DevOps
GCP
Azure
AWS
Platform Engineering
Analytics
ETL/ELT
Informatica
Management
Agile
Apply
≈ $45k – $85k per year (Estimated) • Equity • Remote (Poland) • Full-Time • 3+ years exp • Warsaw
Python
SQL
Databases
SAP HANA
Databricks
AI/ML
Anthropic
DevOps
GCP
Azure
Git
AWS
Platform Engineering
GitHub
Management
Agile
Apply
≈ $131k – $251k per year (Estimated) • In office • 10+ years exp • United States
Python
SQL
Databases
Databricks
DynamoDB
Amazon Redshift
AI/ML
Spark
DevOps
CI/CD
AWS
AWS Lambda
Amazon S3
Amazon Kinesis
Analytics
ETL/ELT
Data Vault
Apply
≈ $140k – $269k per year (Estimated) • In office • 10+ years exp • New York
Python
SQL
Databases
Databricks
DynamoDB
Amazon Redshift
AI/ML
Spark
DevOps
CI/CD
AWS
AWS Lambda
Amazon S3
Amazon Kinesis
Analytics
ETL/ELT
Data Vault
Apply
≈ $131k – $266k per year (Estimated) • In office • 10+ years exp • Washington
Python
SQL
Databases
Databricks
DynamoDB
Amazon Redshift
AI/ML
Spark
DevOps
CI/CD
AWS
AWS Lambda
Amazon S3
Amazon Kinesis
Analytics
ETL/ELT
Data Vault
Apply
$60k – $160k per year • In office • Phoenix
AI/ML
Claude
ChatGPT
Claude Code
AI Agents
OpenAI Codex
DevOps
Terraform
GCP
Azure DevOps
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
GitHub
GitLab
Management
Slack
Google Drive
Apply
$60k – $160k per year • In office • Seattle
AI/ML
Claude
ChatGPT
Claude Code
AI Agents
OpenAI Codex
DevOps
Terraform
GCP
Azure DevOps
Azure
CI/CD
AWS
Docker
Kubernetes
Platform Engineering
GitHub
GitLab
Management
Slack
Google Drive
Apply
$112k – $179k per year • Remote (United States) • Secret • 8+ years exp • PhD
Python
SQL
Python
pySpark
Databases
Databricks
Delta Lake
AI/ML
Spark
MLFlow
Machine Learning
DevOps
Azure
CI/CD
Git
AWS
Management
ITSM
Apply
Lead Data Scientist 2 days ago
$146k – $234k per year • Hybrid • Public Trust • 15+ years exp • High School Diploma • Suitland
Python
Databases
Databricks
AI/ML
Spark
Reinforcement Learning
NLP
TensorFlow
PyTorch
Anomaly Detection
Time Series Forecasting
NIST AI RMF
Machine Learning
DevOps
CI/CD
Management
Agile
Apply
$104k – $166k per year • In office • TS/SCI • 5+ years exp • Bachelor's Degree • Charlottesville
JavaScript
SQL
AI/ML
Machine Learning
Analytics
Tableau
Management
ServiceNow
Apply
$146k – $234k per year • In office • TS/SCI • 12+ years exp • Bachelor's Degree • Washington
Python
SQL
AI/ML
Computer Vision
Knowledge Graph
Machine Learning
DevOps
Azure
AWS
Apply
$146k – $234k per year • In office • TS/SCI • 12+ years exp • Bachelor's Degree • Washington
Python
Java
SQL
Scala
Databases
Databricks
Apache Kafka
AI/ML
Spark
Airflow
DevOps
Azure
AWS
Analytics
Apache NiFi
Management
Agile
Apply
Lead Data Scientist 2 days ago
$146k – $234k per year • Hybrid • Public Trust • 15+ years exp • High School Diploma • Suitland
Python
Databases
Databricks
AI/ML
Spark
Reinforcement Learning
NLP
TensorFlow
PyTorch
Anomaly Detection
Time Series Forecasting
NIST AI RMF
Machine Learning
DevOps
CI/CD
Management
Agile
Apply
≈ $127k – $251k per year (Estimated) • Hybrid • Suitland
AI/ML
LLMOps
Machine Learning
Apply
$119k – $179k per year • In office • TS/SCI • 5+ years exp • Suitland
SQL
Databases
Apache Kafka
Analytics
ETL/ELT
Apply
≈ $124k – $243k per year (Estimated) • Hybrid • Suitland
Databases
PostgreSQL
Oracle
Apache Iceberg
Amazon Redshift
Amazon Aurora
AI/ML
LLMOps
Knowledge Graph
Machine Learning
Apply
$98k – $103k per year • In office • Secret • Suitland
Python
Databases
Databricks
DevOps
GitHub
GitLab
Management
Confluence
Jira
Apply
See all jobs
This is one of many
845,924 more open roles from verified company boards, updated every day.