Data Architect

Key Skills

Algorithms, Apache, Apache Hadoop, Data Modeling, Machine learning techniques, MemSQL, NoSQL

Job Description

Data Architect

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

What You’ll Get to Do:

As a CACI-Wexford Data Architect, you will support United States Army Special Operations Command's (USASOC) core responsibility to provide trained and ready forces that are prepared to meet Geographic Combatant Command (GCC) and Theater Special Operations Command (TSOC) requirements around the world. Considering the breadth of hybrid and dynamic threat groups associated with each GCC's respective Area of Responsibility, providing tailored Special Operations force packages with the proper mix of skills and equipment in time to prevent or address conflict is a difficult task using conventional force generation and deployment processes. USASOCs transition to a truly data-driven organization to best posture for both the current operational environment and the next operational environment.

This position is remote with periodic travel to client site in Fort Liberty, NC***

More About the Role:

The project is rooted in Agile best practices, executing the tenants of DevOps and implement continuous process improvement in process and tools/technology to facilitate USASOC’s transition to a data-driven organization, support ongoing AI/ML across the enterprise, and enable modernization efforts that support the ARSOF mission. The Project Actively supports the Artificial Intelligence Division (AI DIV) Strategy.

You’ll Bring These Qualifications:

• DoD Secret security clearance with ability to obtain Top Secret is required

• Must have a Bachelor's Degree and 3 years' experience, Associate Degree and 4 years' experience or Highschool Diploma and 6 years' experience

• Demonstrated experience using industry design principles, responsible to identify the right architectural patterns and technology to establish high-performing, and highly scalable data solutions

• Design, improve, and manage the main datasets powering our modelling.

• Partner with data scientists and analysts to design effective data pipelines required for modelling.

• Familiar with Data Lake house concepts and implementation.

• Technical Documentation Skills; familiar with multiple databases

These Qualifications Would be Nice to Have:

• Familiar with Singlestore (MEMSQL), NoSQL, Apache Spark, Apache Hadoop

• Familiar with data engineer tools like Apache Airflow/NiFi

• Can effectively communicate with Data Science Teams and Software Development Teams

What We Can Offer You:

• CACI-Wexford manages the Special Operations and Asymmetric Solutions Operating Group within CACI’s Operations Support and Services Sector. As the premier provider of Special Operations capabilities; Tactical Advisory and Embedded Support; intelligence Applications to Law Enforcement; security cooperation and OCONUS Training Support Delivery for the company, CACI-Wexford has a reputation for uncompromising standards of quality in its people and its performance. Joining the CACI-Wexford team is a mark of excellence for those employees who complete our rigorous Mission-Focused Staffing process.

• CACI-Wexford ’s mission places its personnel against the government’s most critical emerging challenges. Work with us, and you’ll be working with a team making a difference across the globe.

• CACI-Wexford offers competitive benefits as well as numerous learning and development opportunities.

• As the Prime Contractor for this effort, CACI-Wexford offers unmatched stability and growth potential within the program.

Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.