Enterprise Architect

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Blackbaud

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🤝 Non-profit

🤝 B2B

💰 $6.5M Series A on 2000-02

SaaS • Non-profit • B2B

Blackbaud is a cloud software company that builds intelligent solutions for social impact, focusing on nonprofit organizations. It provides products and services for fundraising, donor management, engagement, and sector-specific cloud solutions to help charities, educational institutions, and other mission-driven organizations move faster and work smarter. Blackbaud also offers training, support, developer resources, a partner marketplace, and industry research through the Blackbaud Institute. The company emphasizes privacy, security, and corporate social responsibility.

📋 Description

• Define and maintain the enterprise data and AI architecture vision, principles, and roadmap aligned with business strategy and SaaS growth objectives • Establish data-as-a-product practices, including ownership models, quality standards, SLAs, discoverability, and lifecycle management • Guide strategic platform decisions across data ingestion, storage, processing, analytics, ML, and AI enablement • Partner with product and engineering teams to embed AI/ML capabilities into SaaS products and internal workflows • Define AI architecture patterns, such as feature stores, model lifecycle management, vector databases, and LLM integration • Work with Chief Data & AI Officer to establish responsible AI guardrails, including governance, security, privacy, explainability, and regulatory compliance • Collaborate with Chief Data & AI Officer, Security and Legal teams to align AI and data architectures with evolving regulatory requirements • Create and enforce enterprise standards and reference architectures for data platforms, analytics, and AI services • Review and guide solution architectures to ensure scalability, interoperability, cost efficiency, and architectural consistency • Balance near-term innovation with long-term architectural sustainability • Translate business objectives into data and AI capabilities that drive measurable outcomes such as growth, efficiency, and customer experience • Advise executives on data and AI investment decisions, trade-offs, and risk management • Act as a trusted thought partner to senior leaders across product, engineering, and the business • Guide cloud-native data and AI architectures across modern SaaS stacks, including event-driven, API-first, and multi-tenant environments • Influence the evolution of data lakes, warehouses, streaming platforms, ML platforms, and AI services • Optimize architectures for scalability, reliability, cost management, and vendor portability • Evangelize data and AI best practices across the organization • Mentor architects and senior engineers on data and AI architecture patterns

🎯 Requirements

• 15+ years of experience with 10+ years of experience in enterprise, solution, or platform architecture, with deep focus on data and analytics • Proven experience designing enterprise-scale data platforms in cloud-based SaaS environments • Strong expertise in AI-enabled system architecture, including ML and/or Generative AI solution patterns • Solid understanding of AI/ML architectures, including data pipelines, model lifecycle management, and integration patterns • Hands-on familiarity with modern data technologies such as cloud data warehouses, data lakes, and streaming platforms • Experience working across product, engineering, security, and business stakeholders • Strong executive communication and storytelling skills • Pragmatic familiarity with enterprise architecture frameworks (e.g., TOGAF) and architecture governance • Proficiency in Agile and Lean delivery models • Ability to deliver work which meets all minimum standards of quality, security, and operability.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities