Senior Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with federal clients to enhance enterprise data management, data governance, and data modernization initiatives.

• Conduct data-focused analysis of enterprise applications, databases, application interfaces, and business processes.

• Identify and document enterprise data assets, data relationships, and system dependencies.

• Analyze application architectures and data flows to record data movement, transformation, and consumption.

• Create, document, and maintain metadata, data dictionaries, logical data models, data lineage, and data governance artifacts.

• Prepare, validate, and curate metadata for integration into the enterprise data catalog.

• Work collaboratively with business stakeholders, system owners, data stewards, architects, and development teams.

• Suggest improvements to data governance processes, metadata management practices, and catalog functionalities.

• Sustain enterprise data definitions, data health metrics, reference data, and governance documentation.

• Conduct AI data curation activities to enhance readiness for AI, machine learning, and advanced analytics applications.

• Convert complex data architectures and technical concepts into visual representations, presentations, and documentation.

• Provide thought leadership and subject matter expertise in enterprise data management, metadata management, data cataloging, and best practices for data modernization.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Cybersecurity, or a related field.

• 8 years of experience in data architecture, data analysis, data governance, or related technical areas.

• Proficiency in data modeling and documenting enterprise systems.

• Experience collaborating with subject matter experts and technical teams to gather and document data requirements.

• Practical experience participating in Agile teams and workflows.

• Strong analytical, problem-solving, and documentation capabilities.

• Active Public Trust security clearance or the ability to obtain and maintain such clearance successfully.

• U.S. Citizenship is required.

• Certifications such as DCAM, CDMP, or similar credentials in data architecture and engineering are preferred.

• A Master’s degree in Computer Science, Information Systems, or a related field is preferred.

• Expertise in using ER Studio for documenting logical data models is preferred.

• Experience utilizing GitHub to execute and document project management tasks is preferred.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) plan.

• Generous paid time off (PTO).

• Company-paid life and disability insurance.

• Flexible Spending Accounts (FSA).

• Employee Assistance Program (EAP).

• Tuition Assistance & Professional Development Program.

• Competitive compensation and benefits package.

• Opportunities for personal and professional growth.