Data Architect

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Credence has an immediate need for a Data Architect will lead the design, integration, and documentation of enterprise reporting and analytics solutions within a Cloud environment. This role is responsible for developing architectural frameworks, data models, and integration strategies that align with Federal DoD standards.

Key Responsibilities:

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.

• 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

• 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
• Work From Home
• Free Food & Snacks