What are the responsibilities and job description for the Enterprise Architect position at Illumination Works LLC?
Location and Travel Details: Remote (preference for Dayton, OH area)
Join our Data Team! Our collaborative and diverse data team has experience that spans many industries including energy, retail, healthcare, and DoD. We are looking for a passionate Enterprise Architect who is career-oriented and eager to grow their skills. The ideal candidate will bring innovative and best practices in everything data.
The Enterprise Architect will play a crucial role in developing and enhancing the Enterprise Information Model (EIM) to support analytical deep dives and dependency analysis within our ecosystem. The architect will collaborate with engineering teams to unify data from multiple sources while ensuring robust cybersecurity measures and maintaining compliance with data governance practices. This position requires a strategic thinker focused on ensuring that solution architectures align with logistical functions while promoting data-driven decision-making across the organization.
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.
Required skills for this job include:
- Extensive knowledge of enterprise architecture frameworks (e.g., DoDAF, TOGAF)
- Experience in developing and implementing enterprise architecture strategies and roadmaps
- Proficient in data modeling, integration, and governance
- Strong understanding of analytical techniques
- Ability to produce technical documentation and artifacts (e.g., DODAF)
- Experience in cybersecurity best practices and data protection methodologies
- Excellent verbal and written communication skills and the ability to interact professionally with executives, managers, and subject matter experts
- At least five (5) years of enterprise architecture
- Minimum five (5) years in Data governance
- Bachelors or higher degree in engineering, computer science, statistics, analytics, mathematics, or related scientific discipline
Desired skills for this position:
- Familiarity with military logistics and operational systems
- Experience with Model-Based Systems Engineering (MBSE) and SysML
- Skills in developing solution roadmaps and capability phasing
- Knowledge of cloud technologies and data federation strategies
- Background in lifecycle cost analysis and optimization strategies
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.
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.
