Data Platforms & Architecture

A foundation for scale, security, and innovation

A data strategy is only as strong as the architecture that supports it. Viderity designs and implements modern data platforms that bring structure, accessibility, and resilience to complex data ecosystems.
We start with an assessment of current-state data flows, security posture, and infrastructure maturity. From there, we design future-state blueprints aligned with best practices from DAMA-DMBOK, NIST 800-53, and FedRAMP High environments. Our architects engineer data solutions that streamline ingestion, harmonize schema, and support cloud-native analytics.
Our team builds on proven technologies such as AWS, Azure, Snowflake, and Databricks while implementing frameworks for master data management, metadata cataloging, and lineage tracking. We ensure the data lifecycle, from creation to consumption, is transparent, governed, and performance-optimized.


Our Capabilities

Data lake and warehouse design and modernization
Automated ETL and ELT pipelines and API-based integrations
Cloud-native architecture design for scalability and redundancy
Data quality management and governance framework implementation
Metadata and lineage visibility using open standards
Cross-cloud interoperability and cost optimization

Our Results

By modernizing data architectures, Viderity clients have reduced data latency from days to minutes, improved data reliability by 90 percent, and achieved consistent compliance across FISMA and NIST audits.