Java Technical Architect with Azure Cloud

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Job Title: Java Technical Architect with Azure Cloud

Location: Natick, MA (Onsite 100%) Open for remote option after 2-3 months.

Duration: 1 year

Note: Interview 2 video interview and 1 F2F interview at Natick.

Expenses are covered for F2F interview.

Provide end-to-end architectural leadership for enterprise applications and modernization initiatives. The role combines expertise in Azure Cloud architecture, data engineering, hybrid integrations, and AI-driven design with strong grounding in Java and security-first development.

Key Responsibilities:

• Define and govern the technical architecture across application, data, and integration layers.
• Design scalable hybrid architectures spanning on-prem and Azure cloud environments.
• Establish secure API and service frameworks using OAuth 2.0 / OIDC, encryption, and compliance best practices.
• Architect and guide development of modular applications using Java/Spring Boot and REST-based microservices.
• Design and optimize data processing and event pipelines for analytics and downstream systems (e.g., Azure Data Lake, Kafka/Event Hub).
• Collaborate with data engineering teams to define data flow, retention, and governance models.
• Evaluate and integrate AI/ML capabilities where automation, personalization, or predictive insights add value.
• Provide architectural oversight for performance, scalability, and cost optimization.
• Partner with enterprise architects to ensure alignment with security, compliance, and cloud governance standards.
• Mentor engineering teams and lead technical design reviews to ensure solution integrity and forward compatibility.
  
  

Required Skills & Experience:

• 10 15 years overall IT experience, with 5 years in architecture roles.
• Strong foundation in Java, Spring Boot, REST APIs, and integration frameworks.
• Proven experience designing data pipelines and streaming architectures.
• Hands-on expertise in Azure Cloud services (App Services, Functions, Cosmos DB, Data Factory, Event Hub, Key Vault).
• Familiarity with AI/ML concepts and cloud-based AI services (Azure OpenAI, Cognitive Services preferred).
• Strong understanding of security, identity, and compliance frameworks in enterprise environments.
• Excellent communication and leadership skills; ability to engage with senior stakeholders and cross-functional teams.