40 Blackbaud Senior Software Engineer Jobs Hiring Near You

Job Summary:
Blackbaud is a company that powers social impact through purpose-driven technology and responsible AI. They are seeking an experienced Enterprise Architect for Data & AI to define and govern the enterprise-wide data and AI architecture that enables scalable SaaS growth and responsible AI adoption.
Responsibilities:
• 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
Qualifications:
Required:
• 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.
Preferred:
• Experience enabling AI-powered SaaS products or large-scale analytics platforms
• Experience with LLMs, generative AI, and vector-based architectures
• Experience with data governance, privacy, and regulatory frameworks (e.g., SOC 2, GDPR, HIPAA, where applicable)
• Experience with data mesh or domain-oriented data architectures
• Background in a high-growth SaaS or platform company
• Experience with observability for data and AI, including quality, drift, lineage, and cost/usage
Company:
Blackbaud is a provider of software and services designed for non-profit organizations enabling them to build strong relationships and more. Founded in 1981, the company is headquartered in Charleston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.