Data Architect Security Clearance

Position: Data Architect with Security Clearance
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 Gov Cloud 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 Gov Cloud 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 Dev Sec Ops  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 Gov Cloud 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 Business Objects

* Cloudera…