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
Never miss an opportunity! Create an alert based on the job you applied for.
