Data Architect

Illumination Works LLC

9h•Remote

About The Position

We are looking for a Data Architect to design, develop, and manage enterprise data architecture with a strong focus on Air Force Logistics Systems. The data architect will work closely with fellow engineers and government stakeholders to ensure scalable, secure, high-quality data solutions for the enterprise. This role provides technical leadership and architectural oversight, ensuring data integrity, accessibility, and security across platforms, enabling efficient supply chain, maintenance, and operational readiness.

Requirements

Experience with U.S. Air Force logistics systems
Strong proficiency in SQL and NoSQL databases
Strong expertise in data modeling, schema design, and enterprise data architecture and experience developing and maintaining data models
Proficiency in data warehousing solutions (Snowflake, Redshift, Big Query)
Experience with ETL processes and tools and large-scale data integration
Experience with cloud platforms (AWS, Azure, GCP, GovCloud) and cloud-native architectures
Experience with API-based and event-driven data integration architectures
Strong stakeholder engagement and technical leadership skills
Outstanding problem-solving and analytical skills
Excellent verbal and written communication skills
10+ years’ experience in data architecture, data engineering, or related roles
Minimum Education: Bachelor’s degree in Computer Science, Information Systems, or comparable academic discipline
Must have or be willing to obtain Secret Clearance (this requires US Citizenship)
Acceptable candidates must successfully pass a drug test and background screen

Nice To Haves

Certifications in cloud or data architecture
Experience with DoD or Air Force Cloud environments (e.g., Cloud One)
Familiarity with AI/ML-based data quality and anomaly detection
Familiarity with DevSecOps practices (CI/CD, IaC, automated testing)

Responsibilities

Lead the design, implementation, and maintenance of end-to-end data architecture frameworks (e.g., databases, data warehouses, data lakes) supporting enterprise IT systems
Define API-first, microservices-based integration architectures to modernize legacy interfaces
Establish metadata-driven data frameworks, including schema standards, data contracts, and reusable pipeline design
Define data models, canonical schemas, and data standards aligned to DoD requirements
Architect data ingestion, transformation, and processing pipelines
Lead development of data governance, quality, and validation frameworks, including AI/ML-enabled data cleansing approaches
Optimize data systems for performance, scalability, and reliability
Ensure compliance with data security and privacy regulations
Evaluate and recommend data technologies and tools
Guide as-is/to-be data architecture analysis, interface design, and system integration strategy
Mentor data engineers and ensure adherence to architectural standards and best practices