The Data Architect will design, build, and maintain PreBorn’s data architecture to ensure reliable, secure, and scalable data systems that support fundraising, program impact reporting, operations, and leadership decision-making. The role will also steward the ministry’s data ecosystem by helping manage relationships with external vendors and partners. This role bridges technical execution with organizational strategy, ensuring data is accessible, trustworthy, and aligned with PreBorn’s mission. Design and maintain enterprise data architecture, including data models, schemas, and integration patterns Develop and document data standards, governance practices, and best practices Align data architecture with organizational goals, reporting needs, and growth plans Develop an annualized data roadmap aligned to ministry priorities Architect and manage integrations between CRM systems (e.g., donor management), financial systems, program databases, and third-party platforms Oversee ETL/ELT pipelines to ensure data accuracy, consistency, and availability Support migration and modernization of legacy data systems when needed Partner with leadership, fundraising, program, and operations teams to understand reporting and analytics needs Enable dashboards and analytics tools by ensuring clean, well-structured data Support impact measurement, donor reporting, and compliance requirements Enable self-service analytics where appropriate Ensure data security, privacy, and access controls in accordance with best practices and applicable regulations Implement data quality monitoring and validation processes Support disaster recovery and business continuity planning for data systems Document system changes, decisions, and issues Act as the primary escalation point for data issues Collaborate with developers, analysts, and external vendors Provide technical guidance and mentorship related to data architecture Translate complex technical concepts into clear explanations for non-technical stakeholders Translate organizational data needs into clear technical requirements for vendors and external partners Ensure vendor solutions integrate cleanly into the broader data architecture and do not create unnecessary technical debt