Data Architect (SOA & Cloud)

Illumination Works LLC

4d•Remote

About The Position

We are seeking a highly skilled Data Architect to lead scalable, secure, and interoperable data architectures within a cloud-enabled, service-oriented Digital Depot environment. This role combines deep expertise in data architecture, integration, and governance with experience supporting complex, distributed systems across hybrid and partner-connected environments. The Data Architect will play a key role in enabling enterprise data flows, system interoperability, and data-driven operations across the Digital Depot ecosystem. Do you have what it takes? Are you driven to implement creative solutions that unravel complex and ever-changing challenges? We value passion, curiosity, and perseverance with an ability to communicate ideas and results to diverse audiences. We look for people who thrive in collaborative and independent assignments, have the aptitude to learn new data quickly, and who are willing to mentor junior team members. About Illumination Works At Illumination Works, we know data, and we should, we’ve been doing it since we started in 2006! We specialize in everything data from big data to data science, data engineering, software engineering, and cloud design. We are a trusted technology partner in user-centered digital transformation—delivering impactful business results to clients. We partner with customers to solve their unique technology and data challenges and stay on top of modern technologies and advancements leveraging our Innovation Lab. Check out our website to learn more at www.ilwllc.com [http://www.ilwllc.com/]. Why choose us? We invest in our employees in all aspects of their life and we value family. We offer market competitive salary, a generous PTO package, and comprehensive medical, dental, vision and life insurance plans. We also offer 401K, short/long-term disability insurance, a fun and engaging culture, and training opportunities to keep you up to speed on the latest technologies. Illumination Works is committed to hiring and retaining the best workforce. We hire the best talent for our customers’ needs. We make our hiring decisions without regard to race, color, religion, sexual orientation, gender identity or national origin, age, veteran status, disability, or any other protected class. Acceptable candidates must successfully pass a drug test and background screen.

Requirements

7 years of experience in data architecture or related roles
Minimum Education: Bachelor’s degree in Computer Science, Engineering, or comparable academic discipline
Must have or be willing to obtain Secret Clearance (US Citizenship required)
Ability to pass required background screening and drug testing
Strong experience in enterprise data architecture, including data modeling (logical and physical), metadata, and data governance
Expertise in data integration patterns, including APIs, event-driven architectures, and distributed systems
Experience designing scalable data pipelines and platforms
Proficiency in SQL and programming languages (Python, Java, or similar)
Experience with cloud platforms (AWS, Azure, GovCloud preferred), including cloud-native data services
Understanding of DoW data policies and frameworks
Experience with data interoperability and cross-system data exchange, including external partner integrations
Familiarity with DevSecOps practices, CI/CD pipelines, and Infrastructure as Code
Experience with containerization and microservices architectures (Docker, Kubernetes)
Strong analytical, problem-solving, and stakeholder engagement skills
Excellent communication skills, with ability to convey complex data concepts to technical and non-technical audiences

Responsibilities

Lead enterprise data architecture design and governance across cloud and hybrid environments, ensuring alignment with enterprise architecture and Digital Depot objectives
Define and implement data integration patterns (APIs, microservices, event-driven architectures) to enable interoperable data exchange across systems and partners
Design and manage end-to-end data flows, including data pipelines, transformations, and interoperability across maintenance, logistics, and sustainment systems
Develop and maintain logical and physical data models, including authoritative data sources and data standards
Establish and enforce data governance frameworks, including data quality, lineage, metadata management, and compliance with DoD data policies
Support integration of internal and external data sources, including Air Force, DLA, and other partner systems
Define data architecture standards and best practices for scalability, performance, and reuse across the enterprise
Ensure alignment with cybersecurity requirements, including data protection, access controls, and RMF-related compliance
Evaluate and implement cloud-native data services and platforms (AWS, Azure, GovCloud) for analytics, storage, and processing
Develop architecture artifacts and documentation, including data flow diagrams, data models, and integration mappings
Support DevSecOps and data pipeline automation, including CI/CD integration and Infrastructure as Code
Provide technical leadership and mentorship to data engineers and analysts