Head of Enterprise Architecture & Engineering
New
Based in United StatesFull-TimeSenior
Salary175,000 - 220,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- Cloud ComputingMicrosoft AzureMicrosoft DynamicsSnowflakeRESTful APIsDatabricks
Requirements
- 10+ years of progressive experience in enterprise architecture, software engineering, platform engineering, or cloud technologies.
- Proven experience as a principal architect, enterprise platform leader, or equivalent senior technology role.
- Deep expertise with Microsoft Azure cloud architecture (identity, scalability, security, integrations).
- Strong experience with Microsoft Dynamics 365 (CE/FO), ERP, and CRM ecosystems.
- Extensive knowledge of APIs, middleware, event-driven architecture, and cloud-native systems.
- Experience designing digital platforms for customer/employee experiences and workflow orchestration.
- Familiarity with data platforms like Microsoft Fabric, Snowflake, Databricks, and Azure Data Services.
- Understanding of data governance, data quality, lineage, and AI-ready architectures.
- Proven ability to translate complex technical concepts into business decisions.
- Demonstrated experience leading transformation initiatives in fast-moving environments.
- Strong stakeholder management, communication, and mentoring skills.
- Ability to balance strategic planning with hands-on technical problem-solving.
Responsibilities
- Define and execute enterprise architecture strategies across applications, integrations, APIs, cloud platforms, enterprise data, and AI capabilities.
- Establish scalable architecture patterns for CRM, web, mobile, and operational platforms.
- Develop engineering standards covering APIs, integrations, cloud services, observability, and technical design.
- Serve as a trusted advisor to executive leadership on technology direction and modernization.
- Lead enterprise integration and platform strategies including middleware, orchestration, and event-driven architectures.
- Guide modernization efforts across ERP, CRM, and third-party technology ecosystems.
- Establish data governance, master data approaches, and interoperability principles to support analytics and AI.
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