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