Data Architect

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

Overview

WCBinc is looking for a TS/SCI cleared Data Architect to support our intelligence customers in St. Louis, MO, or Springfield, VA. The Data Architect will help ensure today is safe and tomorrow is smarter.

Responsibilities

• Research and evaluate sources of information to determine potential limitations in reliability or usability.
• Apply sampling techniques to effectively determine and define ideal categories to be questioned.
• Compare and analyze provided statistical information to identify patterns, relationships, and problems.
• Define and utilize statistical methods to solve industry‑specific problems in varying fields, such as economics and engineering.
• Prepare detailed reports for management and other departments by analyzing and interpreting data.
• Train assistants and other members of the team on how to properly organize findings and read data collected.
• Design computer code using various languages to improve and update software and applications.
• Refer to previous instances and findings to determine the ideal method for gathering data.
• Support the Geospatial Services and Solutions business area to provide high‑quality, cost‑effective solutions to the customer.
• Design and implement automation solutions to enhance data capture, data refinement, and processes. Coding examples include:
• Interfacing with device APIs to collect operational metrics.
• Providing automated VoIP phone setup.
• Administering and automating data pipelines between different environments.
• Utilize best practices for source control, testing, and deployment of software changes.
• Work in close collaboration with other automation engineers, infrastructure administrators, and data scientists.
• Diagnose, isolate, and expediently resolve complex problems pertaining to data structures.
• Develop methods of ensuring data incompatibilities among systems are systematically eliminated.
• Design, develop, and recommend data management policies, standards, practices, and security measures to ensure effective and consistent data management operations.
• Participate in continuous improvement efforts to increase data availability, data quality, and speed of access.
• Maintain up‑to‑date documentation of designs and configurations, ensuring team members have continuity of recurring tasks.

Qualifications

• TS/SCI clearance or eligibility to obtain TS/SCI clearance.
• 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.