Job Requirements
McLean, VA
Top Secret/SCI Polygraph
Career Level not specified
Salary not specified
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Job Description
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
Required Qualifications
Desired Qualifications
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.
group id: 10367582
