Enterprise Architect

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🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

💻 Suporte de TI

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Blackbaud

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

☁️ SaaS

🤝 Sem Fins Lucrativos

🤝 B2B

💰 $6.500.000 Series A em 2000-02

SaaS • Non-profit • B2B

A Blackbaud é uma empresa de software em nuvem que desenvolve soluções inteligentes para impacto social, focando em organizações sem fins lucrativos. Ela oferece produtos e serviços para captação de recursos, gestão de doadores, engajamento e soluções em nuvem específicas para o setor, ajudando instituições de caridade, educacionais e outras organizações voltadas a missões a operarem de maneira mais rápida e eficiente. A Blackbaud também oferece treinamento, suporte, recursos para desenvolvedores, um mercado de parceiros e pesquisa de mercado através do Instituto Blackbaud. A empresa enfatiza a privacidade, segurança e responsabilidade social corporativa.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

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