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Role: AWS Data Architect
Location : Reston, VA (Onsite) Locals only
Duration- 12+ months
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.
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
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