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. Enterprise Tool Alignment & Compliance 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. Data Discovery & Current State Analysis 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. Data Modeling & Future State Design 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. Documentation & Deliverables 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 Ensure all deliverables meet client documentation standards and are accessible for future use. Requirements 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). Strong expertise in: Data modeling (logical & physical) Data warehousing and reporting architectures ETL/ELT processes and data pipelines Experience with one or more of the following: 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). Preferred Qualifications 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 Benefits 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