Data Modernization Architect

Booz Allen Hamilton Inc.•Arlington, VA

31d•$62,000 - $141,000

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 analytics professional, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We're looking for an experienced data architect like you to deliver leading-edge solutions for national security missions. As a data architect on our national security team, you'll use your technical expertise to modernize legacy environments into new data architectures utilizing commercial off-the-shelf (COTS) data platform technologies and methods. You'll apply leading-edge data platform principles and concepts and contribute to the development of modernized data architectures that supports both current and future operational needs, with a particular focus on geospatial platforms and supporting data. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by collaborating with the client to design and implement a modernized data lakehouse architecture that can be flexibly maintained and used across the organization. A successful candidate will help position data and tools as integral components of the client's modernized data architecture, maximizing integration with other organizational capabilities, and providing increasing value to the client and their partners. You'll grow your technical experience as you assist in the design, definition, development, and testing of cloud solution components, serving as a liaison between clients and developers to ensure that requirements are met and solutions are delivered. With your drive to establish processes and support technological innovation, you'll make a lasting impact on some of national security's toughest problems. Join us. The world can't wait.

Requirements

4+ years of experience with end-to-end process optimization for ingesting, processing, and deploying data
2+ years of experience with Databricks, including creation of data pipelines, automation, data transformation, data architecture, and design
2+ years of experience using Databricks to optimize utilization and improve performance of data queries
2+ years of experience with client engagements, client-facing project work, and business development
Experience building data science, AI, and machine learning solutions that support operational business and mission use cases
Ability to produce clear data architecture and process design documentation
Ability to obtain a TS/SCI clearance
Bachelor's degree in Engineering, Mathematics, Physics, or a technology field

Nice To Haves

Experience supporting security information and event management (SIEM) and dashboarding using Elastic
Experience with Azure SQL Database, SQL Server Enterprise, Neo4j, PostgreSQL, or Oracle
Experience with data processing, data management, or development within ArcGIS Enterprise and Desktop
Experience with Agile methodology
Experience with AWS and Azure architectures
Experience with ServiceNow Strategic Portfolio Management (SPM)
Experience with SharePoint development and integration with external applications
Experience with Power Automate
Possession of excellent critical thinking, communication, and problem-solving skills

Responsibilities

design and implement a modernized data lakehouse architecture
position data and tools as integral components of the client's modernized data architecture
assist in the design, definition, development, and testing of cloud solution components
serving as a liaison between clients and developers to ensure that requirements are met and solutions are delivered