Technical Architect

skilled Technical Architect

Responsibilities

Architecture & Design

• Define, design, and implement end-to-end technical architectures for enterprise-grade solutions.
• Architect scalable and secure cloud-native applications leveraging AWS, Azure, or GCP.
• Provide design guidance on 3D imaging applications, data processing, and visualization workflows.
• Establish standards for API design and integration, ensuring reusability, performance, and security.

Development & Implementation

• Guide development teams in implementing solutions using Python, .NET, and C#.
• Drive adoption of containerization (Docker, Kubernetes) for deployment and orchestration.
• Ensure efficient use of databases including PostgreSQL and MongoDB for structured and unstructured data.

Collaboration & Leadership

• Collaborate with business stakeholders to translate requirements into technical roadmaps.
• Provide mentorship and technical leadership to engineers and developers.
• Conduct code reviews, enforce best practices, and ensure compliance with architectural guidelines.

Quality & Performance

• Ensure system performance, reliability, and scalability through proper architectural decisions.
• Lead proof-of-concepts (POCs) and evaluate new tools/technologies for adoption.
• Oversee security, compliance, and data governance practices.

Primary Skills

• Proven experience as a Technical Architect or Solution Architect in complex, large-scale systems.
• Strong hands-on expertise in:

• Programming Languages:

  Python, .NET, C#

• Databases:

  PostgreSQL, MongoDB

• Cloud Platforms:

  AWS, Azure, or GCP

• API Design:

  REST, GraphQL, or gRPC

• Containerization:

  Docker (Kubernetes experience is a plus)
• Exposure to 3D imaging technologies, visualization frameworks, or computational graphics.
• Strong knowledge of microservices architecture and enterprise integration patterns.
• Excellent problem-solving, analytical, and communication skills.
• Ability to lead cross-functional teams and drive technology strategies.

Secondary Skills (Preferred)

• Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (Terraform/Ansible).
• Knowledge of AI/ML workflows in imaging and data analysis.
• Familiarity with Agile/Scrum methodologies.

Education

• Bachelor’s degree in Information Management, Computer Science, Data Science, or a related field.