Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
At least ten (10) years of IT experience, with five (5) years in information systems design
Proven experience in designing and implementing enterprise data architectures
Strong expertise in data modeling, classification, and data architecture frameworks
Experience in system integration and web-based architecture
Knowledge of metadata management, data warehousing, and data governance
Familiar with cloud/hybrid data environments and modern data architectures
Responsibilities
Develop and implement enterprise data strategies and governance frameworks
Design and manage scalable data architectures
Collaborate with stakeholders for secure data access
Lead data modeling efforts for various data models
Define data storage, integration, and management processes
Establish master data management and metadata practices
Create data architecture artifacts and documentation
Benefits
Collaborative work environment promoting data-driven decisions
Opportunities for mentorship and team leadership
Engagement with diverse teams across the organization
Potential access to innovative technology platforms
Focus on professional development and continuous learning
Full Job Description
Full-Time/Part-Time Full-Time
Description
Senior Data Architect with expertise in data strategy, data governance, data modeling, and enterprise data architecture. This role is responsible for designing, implementing, and managing scalable data architectures that support organizational goals while ensuring data security, accessibility, and integrity.
Key Responsibilities:
Develop and implement enterprise data strategies, governance frameworks, and architecture standards
Design, build, and manage scalable data architectures to support business and mission needs
Collaborate with database administrators, analysts, and stakeholders to ensure efficient and secure data access
Lead data modeling efforts, including conceptual, logical, and physical data models
Define how data is stored, integrated, consumed, and managed across systems and applications
Establish and maintain master data management (MDM) and metadata management practices
Create data architecture artifacts, including diagrams, data inventories, and architectural roadmaps
Ensure data architectures scale to meet increasing data demands and evolving business requirements
Define data quality standards and business rules to support data integrity and usability
Document and communicate the relationship between business objectives and IT data solutions
Develop strategy documents, roadmaps, and business cases; support planning and implementation efforts
Collaborate across teams to promote data-driven decision-making and architectural best practices
Minimum Qualifications:
Bachelor's degree in Computer Science, Information Systems, or a related field
Equivalent project-related experience may be considered in lieu of a degree
Minimum of ten (10) years of IT experience, including at least five (5) years in information systems design
Proven experience designing and implementing enterprise data architectures and information solutions
Strong expertise in data modeling, data classification, and enterprise data architecture frameworks
Experience with system integration, interface design, and web-based architecture approaches
Knowledge of metadata management, data warehousing, business intelligence, and data governance practices
Familiarity with cloud and hybrid data environments and distributed data management
Understanding of modern data architectures, including microservices and event-driven architectures
Strong analytical, problem-solving, and communication skills
Core Competencies:
Ability to translate business needs into scalable data solutions
Strong conceptual thinking, pattern recognition, and problem-solving abilities
Effective communication with executive leadership, business stakeholders, and technical teams
Experience with design thinking and innovation methodologies
Ability to quickly learn and apply new technologies and mentor team members
Preferred Qualifications:
Experience with enterprise data modeling tools
Experience with cloud-managed data services (AWS, Azure, or similar)
Hands-on experience implementing data governance and analytics programs
3-5 years of experience as a data analyst
Prior experience with Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
Familiarity with federal enterprise architecture frameworks and artifacts
This position is currently accepting applications.
