Chief Data Architect

Overview: The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. Design scalable data architectures supporting structured, semi-structured, and unstructured data environments.

Overview:

The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides technical leadership for large-scale data integration, analytics, visualization, and data engineering initiatives.

Responsibilities:

• Define and implement enterprise Big Data architecture frameworks.
• Translate mission and operational requirements into data systems, analytics, and visualization solutions.
• Design scalable data architectures supporting structured, semi-structured, and unstructured data environments.
• Guide engineering teams in developing data-centric solutions and analytic platforms.
• Support data ingestion, management, transformation, and visualization initiatives.
• Collaborate with multidisciplinary teams to extract operational insights from large and complex datasets.
• Develop strategies for managing high-volume and high-velocity data environments, including real-time data feeds.

Required Qualifications:

• Experience designing and implementing Big Data architecture frameworks.
• Experience translating mission needs into data system and analytics requirements.
• Experience managing and integrating large-scale structured, semi-structured, and unstructured datasets.
• Experience supporting data visualization and analytic solution development.
• Strong understanding of enterprise data engineering and architecture principles.
• TS/SCI Poly

Desired Qualifications:

• Experience supporting intelligence community or federal data modernization initiatives.
• Experience with cloud-based big data ecosystems and enterprise analytics platforms.
• Strong leadership and stakeholder engagement capabilities.
• Advanced degree in Data Science, Computer Science, Engineering, or related field.