Job Summary:
Noblis is seeking a cleared Chief Data Architect supporting their customer in Bethesda, MD on a SETA contract. This expert-level position requires a strategic leader responsible for defining and implementing the Enterprise Data Architecture, leading teams to design data solutions that support advanced analytics and machine learning operations.
Responsibilities:
• Define and implement a comprehensive Big Data implementation framework aligned with the customer's mission objectives and IC enterprise standards.
• Develop and maintain the Enterprise Data Architecture ensuring integration with overall the customer and IC enterprise architectures.
• Translate mission needs into actionable Big Data system requirements, analytic tool specifications, and visualization tool requirements.
• Establish and enforce Enterprise Data Standards and metrics to improve data normalization across the organization.
• Design architecture solutions supporting multiple data providers, structured/semi-structured/unstructured data types, and varying data velocity (static documents to real-time feeds).
• Design and implement data mesh architecture across a dynamic workforce, enabling decentralized, domain-oriented data ownership.
• Architect scalable data solutions including data warehouses, data lakes, and data pipelines for enterprise-scale operations.
• Develop ML-ready data infrastructure supporting preprocessed, vectorized datasets for AI model training and deployment.
• Establish cloud-based data storage architectures leveraging emerging technologies and best practices.
• Ensure all data architecture solutions comply with ICD 504 (Intelligence Community Data Management) requirements.
• Provide senior-level expertise on data policy and governance materials.
• Draft, coordinate, and implement processes for the customer data sharing, analysis, and interoperability.
• Integrate ICD 503 (IT Systems Security Risk Management) and ICD 505 (Artificial Intelligence) requirements into architectural designs.
• Ensure compliance with NIST SP 800-53 Rev 4 security and privacy controls.
• Lead and mentor multi-disciplinary teams including data engineers, data scientists, AI/ML engineers, and integration specialists.
• Organize and facilitate governance boards and working groups focused on data architecture and standards.
• Collaborate with stakeholders to examine and visualize data, extracting knowledge from large and complex digital data collections.
• Guide engineering solutions that balance technical innovation with policy compliance and security requirements.
• Improve data literacy across the customer workforce through training, documentation, and knowledge sharing.
• Oversee the design and implementation of large-scale data systems capable of handling high-volume, high-velocity data.
• Identify and implement opportunities for advanced data services and tools including data analytics and machine learning platforms.
• Establish MLOps integration patterns including CI/CD pipelines, model registries, and monitoring frameworks.
• Ensure data quality, security, and compliance with organizational policies and industry standards throughout all implementations.
Qualifications:
Required:
• US Citizenship is required.
• Active Top Secret/SCI clearance with Polygraph.
• Bachelor's degree + 8 years of experience OR Master’s Degree + 6 years of experience OR PhD + 4 years of experience OR High School Diploma/GED + 12 years of experience OR Associate's degree + 10 years of experience.
• Experience defining a Big Data implementation framework.
• Experience translating mission needs into Big Data system, analytic, and visualization tools requirements.
Company:
Noblis is a nonprofit science, tech strategy organization that works in the public interest to help clients solve most complex problems. Founded in 1996, the company is headquartered in Reston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.