TS/SCI Cleared Data Architect for Automation & Analytics

Williams; Honolulu (HI); On-site; USD 120,000 - 160,000; Full time

Job summary

WCBinc is seeking a Data Architect with TS/SCI clearance to support intelligence customers. The role focuses on designing data architectures, automating data pipelines, and ensuring high data quality across multiple environments.

You will collaborate with data scientists, automation engineers, and infrastructure teams to deliver secure, scalable solutions. Responsibilities include statistical analysis, data management, and developing policies and standards for data security and usability.

Qualifications

• Experience in data architecture, statistical analysis, automation, and data management.
• Strong programming skills and familiarity with source control, testing, and deployment practices.
• Excellent communication and training skills.

Responsibilities

• Research and evaluate sources of information to determine potential limitations in reliability or usability.
• Apply sampling techniques to define ideal categories to be questioned.
• Compare and analyze statistical information to identify patterns, relationships, and problems.
• Define and utilize statistical methods to solve industry-specific problems in varying fields.
• Prepare detailed reports for management and other departments by analyzing data.
• Train assistants and other team members on how to organize findings and read data collected.
• Design and implement automation to enhance data capture, refinement, and processes.
• Interfacing with device APIs and automating data pipelines between environments.
• Maintain up-to-date documentation of designs and configurations to ensure continuity.

Skills

Data architecture

Statistical analysis

Automation

Data management

Source control

Communication

Job description

WCBinc is seeking a Data Architect with TS/SCI clearance to support intelligence customers. The role focuses on designing data architectures, automating data pipelines, and ensuring high data quality across multiple environments.

You will collaborate with data scientists, automation engineers, and infrastructure teams to deliver secure, scalable solutions. Responsibilities include statistical analysis, data management, and developing policies and standards for data security and usability.