AWS Data Architect

Job Description

As a Cloud and Data Architect, you will be responsible for leading architectural decisions for the Cloud and Data Enterprise Portfolios.

You must have a deep understanding of technical architecture and hands-on experience implementing solutions in cloud environments focused on AWS.

You should have a strong understanding of industry best practices around enterprise cloud security, reference architectures, containerization, CI/CD, and cloud native design patterns.

Experience with microservices architectures, microservice orchestration, and MLOps platforms is a significant advantage.

The architect must have experience implementing secure technical and deployment architectures using AWS services, Domino Data Labs, as well as engineering tools that support inter-service communication, data hydration, application security, platform resiliency, model lifecycle management, and enterprise operational governance.

Technical experience across multi-cloud environments (AWS, Azure, Google Cloud Platform) is a plus. Strong interpersonal and communication skills are required.

Qualifications

Education & Experience

• Bachelor’s degree in Computer Science or related field required; Master’s degree preferred.
• 12+ years of progressive hands on experience in application development, analysis, engineering, solution architecture, and technical leadership.
• Minimum 5 years of experience as a solution architect working with AWS.
• Experience with Architecture principles and the TOGAF framework is a plus.
• AWS Professional Certification Required
• CISSP or equivalent security certification is a plus.

Technical Expertise

• Enterprise Data & Cloud Architecture
• Expertise managing Enterprise Data Platforms including Data Lakes, Data Warehouses, and Data Marts.
• Experience with real-time and near real-time data streaming platforms.
• Expertise with relational, semi-structured, and unstructured databases.
• Strong proficiency with Python or Java.
• Experience designing large-scale APIs, microservices, and distributed streaming-based solutions.
• Skilled in supporting and managing large, complex, and geographically distributed cloud environments.
• Strong background in risk assessment, control design, gap remediation, and impact analysis.
• MLOps Expertise