Head of Architecture, Integration, and Data Engineering

SavATree is seeking a Head of Enterprise Architecture & Engineering to shape and build the enterprise technology backbone powering customer experience, field enablement, operational scalability, enterprise platforms, analytics, automation, and AI-enabled capabilities. This role requires a full-stack enterprise mindset across various domains including enterprise applications, APIs, integrations, and cloud platforms.

Responsibilities:

• 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
• Define and maintain enterprise data standards, shared data models, reference/master data patterns, and interoperability principles across enterprise systems
• Improve enterprise data quality, lineage, observability, and reliability to support operational effectiveness, analytics, automation, and AI-enabled capabilities
• Enable trusted enterprise data, analytics, automation, and AI-ready architectures leveraging Microsoft Fabric, Snowflake, Databricks, and Azure data services
• Provide enterprise oversight and technical governance for AI-enabled capabilities, ensuring responsible, scalable, secure, and practical adoption aligned to business priorities
• Define guardrails for emerging technologies including AI, automation, low-code platforms, and digital accelerators to ensure architectural integrity, security, maintainability, and business value
• Build and scale a pragmatic enterprise architecture and engineering capability through a lean internal team and strategic partners
• Coach architects, engineers, and technical leaders while elevating technical maturity and engineering discipline
• Drive a culture of accountability, simplification, execution, technical credibility, and continuous improvement
• Establish scalable architecture reviews, documentation standards, reference patterns, and engineering governance
• Operate as a player–coach during modernization efforts, technical tradeoffs, and critical enterprise initiatives

Requirements:

• 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