Head of Architecture, Integration, and Data Engineering

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🕒 Junho 4

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SavATree

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1985

👥 B2C

🤝 B2B

🏛️ Governo

B2C • B2B • Government

A SavATree é uma empresa licenciada e credenciada de cuidados com árvores, arbustos e gramados que oferece serviços de gestão e manutenção de paisagens residenciais, comerciais e municipais. A empresa oferece serviços como poda de árvores, cabos e escoramento, remoção, trituração de tocos, fertilização, tratamentos para doenças e pragas (incluindo opções orgânicas), cuidados com gramados (aeração, semeadura, fertilização), serviços de irrigação, programas de dissuasão de cervos, controle de carrapatos e insetos, iluminação de festas, resposta a emergências climáticas e consultoria profissional de arboristas certificados pela ISA para avaliações de risco, avaliações e planejamento de florestas urbanas. A SavATree enfatiza o diagnóstico baseado em ciência, a gestão ambiental e o serviço personalizado em filiais locais.

Descrição

• Define enterprise architecture strategy across enterprise applications, integrations, APIs, Azure cloud platforms, enterprise data, analytics, automation, and AI enablement. • Establish scalable architecture patterns enabling digital customer and employee experiences across CRM, web, mobile, communications, and operational platforms. • Define enterprise engineering and platform standards across APIs, integrations, cloud services, observability, reusable services, technical design patterns, and platform reliability. • Promote reusable enterprise capabilities and scalable platform approaches that accelerate delivery and reduce technical fragmentation. • Serve as a trusted advisor to business and technology leadership on enterprise technology direction, modernization priorities, and technical investment decisions. • Own and evolve enterprise integration and platform strategy including APIs, middleware, orchestration, interoperability, and event-driven architecture. • Guide architecture and engineering direction across Microsoft Dynamics 365 (CE/F&O preferred), ERP, CRM, operational systems, digital platforms, and third-party ecosystems. • Improve observability, resiliency, monitoring, supportability, and enterprise reliability. • Guide modernization of legacy systems and synchronization approaches into scalable, maintainable cloud-native patterns. • Partner with Digital Solution Delivery, ERP, and Infrastructure leaders to enable scalable digital experiences through reusable enterprise services and shared data models. • Establish pragmatic enterprise data governance practices that improve trust, quality, consistency, accessibility, and usability of enterprise data without creating unnecessary bureaucracy. • Enable trusted enterprise data, analytics, automation, and AI-ready architectures leveraging Microsoft Fabric, Snowflake, Databricks, and Azure data services.

🎯 Requisitos

• 10+ years of progressive experience across enterprise architecture, software engineering, platform engineering, integration engineering, cloud technologies, or enterprise technology delivery. • Experience operating as a principal architect, enterprise platform leader, or equivalent senior technical leadership role. • Deep experience with Microsoft Azure cloud architecture and services including identity, platform scalability, enterprise integration, observability, and security. • Strong experience with Microsoft Dynamics 365 ecosystem (CE and/or F&O preferred), ERP/CRM integration patterns, and enterprise modernization. • Experience enabling digital backbones including APIs, customer and employee experiences, CRM ecosystems, workflow orchestration, identity, customer data, omnichannel connectivity, and reusable enterprise services. • Strong expertise across enterprise architecture, platform engineering, APIs, middleware, event-driven architecture, cloud-native systems, and enterprise interoperability. • Experience with modern data platforms including Microsoft Fabric, Snowflake, Databricks, Azure Data Services, analytics enablement, and AI-ready architectures. • Comfortable operating in lean, fast-moving environments requiring both strategic leadership and hands-on technical execution.