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Data Architect
CredenceData Architect at Credence developing architectural frameworks and analytics solutions in a cloud environment. Ensure compliance with Federal DoD standards while collaborating with Integrated Product Team (IPT).
Tech Stack
Tools & technologiesAWSCloudD3.jsETL
About the role
Key responsibilities & impact- 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
- Ensure all deliverables meet client documentation standards and are accessible for future use.
Requirements
What you’ll need- 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).
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architectureenterprise data modelingdata modelingdata warehousingETLELTdata pipelinescloud environmentsDevSecOpsdata access controls
Soft Skills
collaborationcommunicationstakeholder validationdocumentationanalytical skillsfacilitationproblem-solvingattention to detailorganizational skillsleadership