Data Warehouse and Data Platform

The Vendor is required to provide to design, implement, and support a modern cloud-based data warehouse or data platform.
- This initiative aims to consolidate data from multiple systems, improve reporting and analytics capabilities, and empower staff and leadership with actionable insights to enhance program delivery, fundraising, and operational performance.
- Work closely with agency program, operations, finance, and development teams to assess data sources, recommend platform architecture, build data pipelines, and deliver integrated dashboards aligned with nonprofit data needs.
- The platform should consolidate data from disparate systems, improve reporting and analytics, and provide staff and leadership with actionable insights into program impact, fundraising effectiveness, and organizational performance.
- Data Source Identification & Assessment
•    Conduct discovery sessions with program, operations, finance, and development teams to catalog all current and potential data sources.
•    Identify priority systems and datasets, such as:
o    Case management systems, program enrollment records, and attendance data.
o    Donor management and fundraising platforms.
o    Grant management systems and compliance reporting datasets.
o    Financial systems (accounting, budgeting, cost allocation).
o    Volunteer management and HR systems.
o    Community/partner datasets (schools, social services, healthcare providers).
o    Assess data quality, completeness, and integration feasibility across sources.
- Platform Selection & Architecture Design
•    Recommend and implement a cloud-based data warehouse / data platform that meets nonprofit requirements for cost, scalability, security, and ease of use.
•    Evaluate leading technologies (e.g., Microsoft fabric, snowflake, google bigquery, data bricks) against criteria such as integration, compliance, and TCO.
•    Define a future-proof architecture including:
o    Secure data ingestion and staging.
o    Data warehouse / lakehouse environment.
o    Metadata management and data governance capabilities.
o    Role-based access and child data privacy safeguards.
- Data Pipeline Development
•    Design and build automated pipelines to extract, transform, and load (ETL/ELT) data from identified systems into the centralized platform.
•    Establish data quality rules to ensure accuracy, consistency, and timeliness of data.
•    Implement monitoring and error handling to maintain reliable data flows.
- Data Modeling & Integration
•    Develop a nonprofit-focused data model that integrates key domains, including:
o    Child & family demographics (child, household, parents’ employers, employment data)
o    Program enrollment & outcomes (kids in care, waitlists, head start, early childhood programs)
o    Provider & quality (provider information, agency assessments, zip code maps with agency rating, mentors, training participation)
o    Case management & family services (family support services, referrals, recertification, terminations)
o    Outreach & engagement (outreach dashboard, call data, contacts, events)
o    Financial & funding (financial statements, grant-specific reporting, donor/fundraising insights)
•    Create canonical structures (e.g., child, household, donor, volunteer, program, and provider) to enable cross-functional reporting and analytics.
•    Document the data model for ongoing use and scalability.

- Contract Period/Term: 1 year
- Questions/Inquires Deadline: October 21, 2025