Data Architect/ Science Lead

The Data Architect/Scientist Lead

The Data Architect/Scientist Lead is responsible for leading enterprise data architecture, data engineering, analytics, artificial intelligence, machine learning, and data governance initiatives supporting large scale federal systems.

• Develop enterprise data strategies and modern data platforms that enable advanced analytics, business intelligence, predictive modeling, and AI driven decision making while ensuring data quality, security, and compliance.
• Lead the design, implementation, and governance of enterprise data architecture supporting structured, semi structured, and unstructured data environments.
• Architect and oversee the development of enterprise data warehouses, data marts, data lakes, lakehouse environments, and analytics platforms.
• Lead large scale data migration, transformation, integration, modernization, and operational support initiatives.
• Design and implement scalable data pipelines supporting data ingestion, processing, transformation, and analytics.
• Develop and evaluate machine learning models, artificial intelligence solutions, predictive analytics capabilities, and advanced statistical models.
• Collaborate with business stakeholders, architects, engineers, and program leadership to identify data driven solutions supporting mission objectives.
• Establish enterprise data governance standards, data quality processes, metadata management practices, and master data management strategies.
• Conduct technical evaluations and cost benefit analyses of competing technologies, architecture, and implementation approaches.
• Develop dashboards, reporting solutions, and data visualization capabilities that support executive decision making.
• Provide technical leadership and mentoring to data engineers, data scientists, database administrators, and analytics teams.
• Ensure compliance with federal data security, privacy, and governance requirements.

Special Requirements

• US Citizenship Required to obtain a Public Trust
• Bachelor Degree and 10 years enterprise data architecture, AI/ML, data engineering, and data experience
• Must be local to the DMV area