Data Architect

The project consists of below high-level milestones and expected deliverables/outputs, list is not all inclusive:

• Assess Current Data Environment: Evaluate existing partner systems, data sources, and integration points; identify data quality and interoperability gaps.
• Design Enterprise Data Architecture: Develop conceptual, logical, and physical data models aligned with CalAIM, HIPAA, and data standards.
• Develop Integration and Interoperability Framework: Define secure data exchange mechanisms, APIs, and ETL processes for cross-system sharing.
• Establish Data Governance and Standards: Create and document data dictionaries, metadata standards, and governance procedures ensuring compliance and data integrity.
• Support Reporting and Analytics: Design data structures and schemas to enable operational dashboards, outcome tracking, and State-mandated CalAIM reporting.
• Deliver Technical Documentation and Knowledge Transfer: Produce clear technical documentation, data flow diagrams, and provide knowledge transfer..
• Reporting & Analytics Data Model Data schema supporting program metrics and State reporting.
• Data Landscape Assessment Report Summary of systems, data sources, and identified integration gaps.
• Data Architecture Design Package Includes enterprise data models, data flow diagrams, and architecture recommendations.
• Integration & Interoperability Specifications Technical design for APIs, data pipelines, and exchange standards.