Data Architect

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We?ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Data Architect to lead the design, integration, and documentation of enterprise reporting and analytics solutions within a cloud environment. In this role, the Data Architect will be responsible for developing scalable architectural frameworks, robust data models, and enterprise integration strategies that support mission-critical analytics capabilities. The position requires close alignment with Federal and DoD standards, ensuring compliance, security, and best practices across all data solutions. The ideal candidate will play a key role in shaping data architecture strategy, enabling data-driven decision-making, and ensuring the seamless integration of diverse data sources across the enterprise. Responsibilities include, but are not limited to the duties listed below: Architectural Design & Integration

• Develop and deliver an Architectural Design and Integration Plan with Configuration Requirements demonstrating compliance with enterprise reporting needs in a GovCloud environment.
• Must have the ability to design and implement data access controls based on user roles and permissions.
• Define a conceptual deployment framework for reporting tools within the GovCloud architecture.
• Collaborate with the Integrated Product Team (IPT) to ensure alignment with enterprise integration requirements.
• Produce logical and physical architecture diagrams illustrating system components, interactions, infrastructure, and deployment strategies.
• Ensure alignment with DevSecOps best practices across Development, Staging, and Production environments.
• Communicate environment configuration requirements to Managed Service Providers (MSPs) to ensure consistency across environments.
• Document installation, configuration processes, and lessons learned for all tools and supporting technologies.

• Evaluate and incorporate platform tools where applicable.
• Justify and document any proposed deviations, including obtaining required Government approvals.
• Ensure interoperability and integration across enterprise analytics platforms.

• Lead data discovery sessions with stakeholders to identify:
• Databases, schemas, tables, columns, and data objects
• Data sources and reporting dependencies
• Coordinate with stakeholders and report owners to validate data sources and structures.
• Analyze data relationships, dependencies, and flows across systems.
• Document detailed metadata including field names, data types, constraints, and relationships
• Develop and deliver a Current State Physical Data Model with stakeholder validation.

• Ability to design and implement data access controls based on user roles and permissions.
• Design and deliver Future State Logical and Physical Data Models aligned with reporting modernization goals.
• Define optimized data structures, relationships, and data flows to support enterprise reporting.
• Facilitate stakeholder validation sessions to ensure alignment with customer objectives for:
• Accuracy
• Accessibility
• Scalability
• Incorporate feedback and finalize models as authoritative artifacts supporting migration and consolidation efforts.

• Produce comprehensive, structured documentation including:

• Architectural Design and Integration Plan
• Logical and Physical Architecture Diagrams
• Current State Data Model Documentation
• Future State Data Models (Logical & Physical)
• Environment Configuration Requirements (Dev, Staging, Prod)
• Installation and Configuration Guides

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 8+ years of experience in data architecture, enterprise data modeling, or analytics platforms.
• Demonstrated experience designing solutions in cloud environments (AWS/Google GovCloud preferred).

• Data modeling (logical & physical)
• Data warehousing and reporting architectures
• ETL/ELT processes and data pipelines

• Qlik, SAS Viya, SAP BusinessObjects
• Cloudera ecosystem
• Streamlit, D3, UI5
• Experience supporting DevSecOps pipelines and environment promotion strategies.
• Strong documentation and diagramming skills (e.g., UML, ER diagrams).

• Experience working with federal government or DoD environments, particularly DLA.
• Familiarity with data governance, security, and compliance requirements in GovCloud.
• Experience supporting large-scale reporting modernization or consolidation efforts.
• Knowledge of data cataloging and metadata management tools.
• Must be a US Citizen and with the ability to obtain a Defense Secret Clearance
• Active Clearance is preferred

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Free Food & Snacks