This role pays less than
71%
of similar roles. Most pay
$142,400–$212,000
— the shaded band above.
At the midpoint, this role pays about
$142k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
802 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 783 roles with salary data.
As a Data Architect on the national security team, you will design and optimize data architecture solutions for cyber operations data governance, analytics, and reporting dataflows. You will be responsible for creating data models, designing databases, documenting as-is architectures to inform future designs, and managing storage capacity. Collaborating with business analysts, technology teams, and clients, you will translate requirements into implementation plans, provide recommendations on database technologies, and evaluate functional requirements for AI and data applications. The role requires expertise in establishing data standards, developing performance metrics, and ensuring data is secure and accessible. You will utilize your skills to solve complex problems within the national security cyber mission domain. Required qualifications include a TS/SCI clearance with a polygraph and experience with data architecture, database solutions, and potentially USCYBERCOM tools or data visualizations.
Data Architecture
Python
SQL
AWS
S3
Glue
Redshift
Athena
Lake Formation
dbt
Airflow
ETL
ELT
Data Modeling
Data Governance
Metadata Management
Data Cataloging
Agile
Data Modeling
SQL
Python
AWS
S3
Glue
Redshift
Athena
Lake Formation
ETL
ELT
Data Governance
Data Quality
Metadata Management
Data Cataloging
Lineage
Agile
Data Architecture
PostgreSQL
AWS
SQL
Data Modeling
Data Governance
DataOps
Time-Series Data
Big Data
Machine Learning
AI
Data Warehousing
Data Engineering
Metadata Management
Distributed Query Engines