Mission System Data Architect

Booz Allen Hamilton•Mclean, VA

23h•Remote

About The Position

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for national security. As a data architect on our national security team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for large-scale data solutions such as ingest, analytics, enrichment, and security. You’ll resolve routine data architecture- related issues in collaboration with business analysts and technology teams by optimizing data ingest pipelines, working with the project teams to identify optimal storage, including size and cost tradeoffs, and structure, including search, discovery, and analytics, and making recommendations on data architecture enhancements. In this role, you’ll share your technical expertise, introduce best practices, and use tools like Structured Query Language ( SQL ) and near real-time data streaming to design data models and standards, ETL pipelines, met rics collection and reporting, and how to leverage AI to extract more insights from data. You’ll lead your team as it designs, defines, develops, and tests cloud solution components, and you’ll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered. With your motivation to establish processes and facilitate technological innovation, you’ll make a lasting impact on national security. Join us. The world can’t wait.

Requirements

Experience with data modeling and design, including conceptual, logical, and physical models
Experience with ETL / ELT pipelines using multiple languages and frameworks such as Python, Java, and Apache NiFi
Experience with relational and non-relational databases such as Oracle, MongoDB, PostgreSQL, Redis, and Neo4J
Knowledge of SQL
TS/SCI clearance with a polygraph
Bachelor’s degree in CS or Information Science

Nice To Haves

Experience with multiple clouds such as Amazon and Oracle
Experience designing, implementing, and sustaining ETL pipelines using Apache NiFi
AWS Certified Data Engineer and Oracle Certified Professional Certifications

Responsibilities

Lead the design of data architecture solutions for large-scale data solutions such as ingest, analytics, enrichment, and security.
Resolve routine data architecture- related issues in collaboration with business analysts and technology teams by optimizing data ingest pipelines.
Work with project teams to identify optimal storage, including size and cost tradeoffs, and structure, including search, discovery, and analytics.
Make recommendations on data architecture enhancements.
Share technical expertise, introduce best practices, and use tools like Structured Query Language ( SQL ) and near real-time data streaming to design data models and standards, ETL pipelines, metrics collection and reporting, and how to leverage AI to extract more insights from data.
Lead your team as it designs, defines, develops, and tests cloud solution components.
Serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.