Enterprise Data Platform
Location:
Washington, District of Columbia, United States
Posted on:
Deadline:
Summary:
RFP for a vendor to provide a centralized enterprise data platform integrating data, enabling self-service reporting, and supporting secure cloud infrastructure management for Washington, DC.
Get full access to this RFP
Download the full RFP document and use Settle's AI to analyze requirements, estimate budget, and draft winning responses in minutes.
Washington, DC seeks a qualified vendor to provide an Enterprise Data Platform (EDP) that centralizes and integrates organizational data into a modern data lake ecosystem. The platform must offer robust platform services to ensure secure, efficient, and scalable data accessibility across the enterprise. This initiative supports the city's digital transformation priorities by enabling self-service reporting, streamlined access to legacy system data, automated metadata capture, and data governance functionality to enhance data quality, security, and lineage.
Key requirements include the provision of API-driven data access and integration capabilities, data fabric services to connect disparate data sources, and development of data catalogs for improved discoverability and governance. The platform must offer advanced analytical tools for self-service reporting and analytics, along with comprehensive engineering services for platform upgrades and ongoing sustainment.
Additionally, vendors must provide secure and optimized management of cloud infrastructure, including monitoring, backup, and disaster recovery provisions. The work also entails optimizing data integration and access controls, cost and performance management, and detailed design and maintenance of AWS account structures suited for multi-tenant environments. Security is paramount, with expectations including secure baseline configurations, integration of cybersecurity automation, least-privilege access controls, centralized secrets management, and the automation of operational tasks to enhance system reliability.
