Data Architect Enterprise Data Warehouse/Data Lake|Cloud Data Platform

Agility Technologies Inc

12h•Remote

About The Position

Agility Technologies delivers modern technology solutions that help mission-driven organizations build secure, scalable, and resilient digital ecosystems. We specialize in systems integration, cloud architecture, automation, and data-driven platforms supporting high-impact outcomes. We are seeking a Data Architect to lead the design and evolution of enterprise data models and database architecture supporting a complex, integrated education technology ecosystem. This role will help enable high-quality analytics, reporting, and operational performance across multiple systems and stakeholders. As a Data Architect, you will design and maintain scalable data architectures that support enterprise reporting, analytics, and data integration. You will define logical and physical data models, guide database design decisions, and collaborate with engineering and analytics teams to ensure data is reliable, secure, and optimized for performance. This role supports an environment integrating multiple SaaS and enterprise systems, requiring strong experience in data modeling, governance-minded design, and cloud-based data platforms.

Requirements

Bachelor’s degree in Computer Science, Data Science, or related field
8+ years of experience in data modeling and database design
Strong expertise in relational database concepts, schema design, and normalization/denormalization strategies
Ability to translate business requirements into scalable enterprise data structures
Strong communication skills and experience collaborating across technical and non-technical teams
Must be a U.S. Citizen
Must be eligible for and capable of obtaining a U.S. Government security clearance
Must be currently residing in the United States
Must be willing to travel occasionally to Washington, DC for in-person meetings

Nice To Haves

Experience designing and implementing enterprise data warehouses and/or data lakes
Familiarity with cloud-based data platforms such as: Snowflake Amazon Redshift
Experience supporting data integration and analytics environments in cloud ecosystems
Understanding of modern data architecture patterns (e.g., dimensional modeling, star/snowflake schemas)

Responsibilities

Lead data architecture efforts including logical and physical data modeling
Design scalable database schemas and enterprise data structures to support analytics and reporting
Define standards for data modeling, naming conventions, and data quality practices
Support enterprise reporting needs by enabling clean, well-structured datasets and semantic layers
Partner with engineering and integration teams to align data design with system interfaces and workflows
Contribute to data governance, lineage, and documentation of key data entities and definitions
Optimize data models for performance, scalability, and maintainability
Provide architectural guidance for enterprise data warehouse and/or data lake implementations