[Hiring] Head of Architecture, Integration, and Data Engineering @SavATree

Role Description

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:

• Enterprise applications
• APIs
• Integrations
• Azure cloud platforms
• Enterprise data
• Digital backbone capabilities
• Automation
• Engineering standards
• AI enablement

This is not a pure governance or ivory-tower architecture role. The ideal candidate is a principal architect and builder – equally comfortable defining future-state direction, solving complex technical problems, partnering directly with engineers and vendors, influencing enterprise decisions, and helping delivery teams execute.

The successful candidate will bring experience enabling modern digital ecosystems through scalable enterprise architecture. While this role does not own digital products directly, it plays a critical role in enabling customer and employee-facing capabilities through:

• APIs
• Reusable services
• Enterprise integrations
• Shared data models
• Identity
• Workflow orchestration
• Scalable platform design

Success requires a player–coach mindset with the ability to move fluidly between executive conversations and technical depth.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Salary: $175,000-$220,000, dependent on experience level and skillset
• Full-Time / Permanent position
• Remote work opportunity