Data Architecture Analyst at SAIC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Evaluation, Data Analysis, Data Collection Systems, Data Modeling, Data Governance, Metadata Management, Data Quality, Cloud Technologies, Agile Development, Rapid Prototyping, TOGAF, DoDAF, FEAF, Zachman, Sparx EA

Industry

Defense and Space Manufacturing

Description

The Vanguard 2.2.1 contract is seeking a Data Architecture Analyst to support the Data Analytics and Assessment Team (DAA) within the Bureau of Diplomatic Technology at the Department of State. The DAA team is looking for a highly motivated professional with expertise in data architecture, evaluation, and analysis. Our team is results-oriented and committed to delivering innovative technological solutions that address complex challenges. We prioritize usability, user experience, and thoughtful design in all our applications. By leveraging modern design principles and project management methodologies, including rapid prototyping and agile development, we are redefining expectations for government technology. Our approach ensures that solutions are intuitive, effective, and aligned with business objectives. This role is hybrid. Responsibilities: Summary: Acquires data from diverse sources and maintains databases, data warehouses, and data lakes to support Department mission requirements. Develops and implements scalable data collection systems, ensuring data is organized, normalized, and accurate to enable reliable analysis, reporting, and decision-making. Duties: Develops and maintains conceptual, logical, and physical data models aligned with agency enterprise architecture and mission needs. Documents data flows, interfaces, and system relationships to support integration, interoperability, and modernization efforts. Performs data governance activities, including metadata management, data standards, and data quality assessments. Collaborate with system owners, program teams, and security staff to ensure data architecture complies with federal policies, privacy, and security requirements. Contributes to cloud and shared services initiatives by identifying opportunities for data reuse, consolidation, and improved accessibility. Required Education & Experience: Bachelor's degree in Information Technology, Computer Science, Systems Engineering, Architecture, or a related field; may accept additional equivalent experience in lieu of degree. 14+ years of experience in IT architecture, systems analysis, or a related discipline. Experience with enterprise architecture frameworks (e.g., TOGAF, DoDAF, FEAF, Zachman). Familiarity with business process modeling, requirements gathering, and systems integration. Understanding of IT infrastructure, software development life cycles, and cloud technologies. Knowledge of data management, cybersecurity principles, and interoperability standards. Familiarity with Authority to Operate (ATO) processes and related security compliance requirements. Proficiency with architecture modeling tools (e.g., Sparx EA, Visio, ArchiMate). Ability to translate business needs into technical requirements. Excellent written and verbal communication skills for preparing reports, briefings, and presentations. Ability to work independently as well as in a team environment. Required Clearance: US Citizenship. Ability to obtain a top secret clearance. Must obtain an interim secret/top secret clearance prior to starting work. Preferred: Prior government experience Security certifications (e.g., CISSP)

Responsibilities

The analyst will acquire data from diverse sources and maintain databases, data warehouses, and data lakes to support mission requirements, developing scalable data collection systems to ensure data accuracy for analysis and decision-making. Duties include developing conceptual, logical, and physical data models, documenting data flows, and performing data governance activities in compliance with federal policies.