Senior Data Architect

Key Responsibilities

• Collect, analyze, clean, normalize, and model large datasets from varied sources
• Develop, test, and implement predictive models, AI/ML algorithms, and advanced statistical analyses
• Design and maintain data pipelines, ETL processes, data lakes, and data warehouses
• Create enterprise strategies and data-driven solutions to support ACC operations and mission success
• Design and enforce data governance, quality, and security standards including data labeling
• Present data-driven results clearly and effectively to leadership and stakeholders
• Create and report metrics aligned to Government-defined KPIs
• Design and build APIs to access data and systems
• Facilitate and manage data storage, cataloging, and retrieval for accessible knowledge sharing
• Lead lessons-learned initiatives, apply industry best practices, and support process improvement
• Conduct Command-wide training and awareness initiatives to promote data literacy and secure usage
• Participate in workshops, seminars, and conferences to support enterprise data advancement

Required Qualifications

• Minimum of 5 years of experience in data architecture, data engineering, or analytics
• Experience in one or more of the following: Enterprise data architecture and governance, Building data pipelines and ETL processes, Data modeling and predictive analytics, Statistical tools, programming languages (e.g., Python, R, SQL), Cloud-based and on-premises data platforms
• Familiarity with designing and building APIs
• Strong communication skills with the ability to explain complex concepts to non-technical audiences
• Demonstrated ability to lead strategic data initiatives and support training across large organizations

Preferred Qualifications

• Master’s degree in a data-related field
• Experience with AI/ML platforms, data visualization tools, and DoD data environments
• Familiarity with data cataloging tools and metadata management systems
• Certifications in data engineering, architecture, or analytics (e.g., AWS Certified Data Analytics, Azure Data Engineer, CDMP)
• Experience implementing data classification and security frameworks in government environments