Data Architect, Lead

Booz Allen Hamilton•Charlottesville, VA

22h•Onsite

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 the Army. As a data architect on our Army Data Engineering team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for integrating data pipelines from numerous Army intelligence sources. You’ll resolve complex data architecture-related issues in collaboration with business analysts and technology teams by analyzing data models and tools to provide a comprehensive view of available intelligence. In this role, you’ll share your technical expertise, introduce best practices, recommend, and use advanced tools for data warehousing, ETL processes, SQL, SSIS, and OLAP (Online Analytical Processing). 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 how the Army takes advantage of its intelligence sources. Join us. The world can’t wait.

Requirements

8+ years of experience in data architecture, data engineering, or analytics engineering, including ownership of enterprise or program-level data models for secure DoW information management systems
8+ years of experience with SQL and database, including data modeling, such as dimensional modeling, normalization, or schema design, query optimization, and working with relational databases and cloud data platforms
Experience with Python data frameworks for data processing, transformation, and automation
Experience designing and governing data architectures in AWS-based environments
Experience assisting with establishing and enforcing data governance practices, data quality frameworks, metadata management, data cataloging, lineage, and access policies
Experience with ETL and ELT processes and modern data pipeline architectures
Experience with project management, including planning and delivering schedule-bound technical engagements or assessments against a statement of work or charter and shape a practical architecture and roadmap
TS/SCI clearance
Bachelor's degree in a Data or IT field
Ability to obtain a DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date

Nice To Haves

Experience with AWS data services such as S3, Glue, Redshift, Athena, or Lake Formation
Experience conducting data maturity, readiness, or current-state architecture assessments for external clients
Experience with data governance and catalog tooling, including data catalogs, lineage tools, or metadata management platforms
Experience with data warehouse or Lakehouse architectures and orchestration or transformation frameworks such as Airflow or Data Build Tools (DBT)
Experience mentoring engineers or analysts on data modeling and governance practices
Experience with Agile development techniques and ceremonies
Experience with the Atlassian tool suite, including Jira and Confluence
Knowledge of AI/ML workflows and the data architecture patterns that support them
Possession of strong client-facing communication skills, to engage new customers, present findings, and recommendations to senior technical and non-technical stakeholders, and coordinate across internal teams
Master's degree in a Data or IT field

Responsibilities

Lead the design of data architecture solutions for integrating data pipelines from numerous Army intelligence sources.
Resolve complex data architecture-related issues in collaboration with business analysts and technology teams by analyzing data models and tools to provide a comprehensive view of available intelligence.
Share technical expertise, introduce best practices, recommend, and use advanced tools for data warehousing, ETL processes, SQL, SSIS, and OLAP.
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.
Establish processes and facilitate technological innovation.