Cloud Data Architect & Modeler - Data Platform Lead

General Dynamics Information Technology; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

General Dynamics Information Technology seeks a Cloud Data Architect - Data Modeler to lead data architecture, engineering, and modeling for the AO's CMM program. This role delivers scalable, secure cloud data platforms (lakes, lakehouses, warehouses) and guides governance, security, and CI/CD practices across the data lifecycle.

You will partner with governance, security, and development teams to implement multi-tenant architectures, support analytics and AI/ML use cases, and ensure compliance

Qualifications

• MA/MS degree in information systems or related field.
• 12+ years of information systems experience.
• Experience with AWS data services and modern data Platform patterns.
• Ability to define scalable, secure operational data models.

Responsibilities

• Design scalable, secure cloud-based data platforms (data lake, lakehouse, data warehouse) for reporting and analytics.
• Develop and document data flows, structures, standards, and governance alignment.
• Architect multi-tenant cloud environments with SQL/NoSQL and streaming databases.
• Collaborate with governance, security, and development teams to align with policies.
• Produce audit-ready documentation for data models and design decisions.
• Operate in an Agile federal environment with BI architects and data engineers.

Skills

Cloud architecture

Data modeling

AWS data services

Data governance

Security compliance

SQL

NoSQL

ETL/ELT

CI/CD

Education

MA/MS in information systems

12+ years information systems experience

Tools

Snowflake

Databricks

Redshift

Tableau

Power BI

Terraform

Job description

General Dynamics Information Technology seeks a Cloud Data Architect - Data Modeler to lead data architecture, engineering, and modeling for the AO's CMM program. This role delivers scalable, secure cloud data platforms (lakes, lakehouses, warehouses) and guides governance, security, and CI/CD practices across the data lifecycle.

You will partner with governance, security, and development teams to implement multi-tenant architectures, support analytics and AI/ML use cases, and ensure compliance