Enterprise Architect IV

Reston, VA - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

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 or Azure.

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 GCP) is a plus. Strong interpersonal and communication skills are required.
THE IMPACT YOU WILL MAKE
This role offers you the flexibility to make each day your own while working alongside teams who care so you can deliver on these responsibilities:
Position yourself as a trusted advisor to business teams and partner with them to understand requirements for cloud implementations.
Provide recommendations for cloud migration and develop technical implementation roadmaps for AWS adoption.
Create application architecture data architecture deployment architectures functional design specifications and other technical deliverables.
Design modern scalable secure and resilient solutions on AWS that meet requirements for availability performance and compliance.
Collaborate with Information Security Compliance Controls and other teams to develop secure and compliant cloud solutions.
Qualifications
Education & Experience
Bachelors degree in Computer Science or related field required; Masters 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 or Azure.
Experience with Architecture principles and the TOGAF framework is a plus.
AWS Professional Certification preferred; AWS or Azure Architecture Associate 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
Extensive experience with MLOps frameworks and enterprise ML lifecycle automation including:
ML Lifecycle Architecture & Automation
Designing and implementing end to end MLOps pipelines: data ingestion feature engineering model training tuning evaluation versioning CI/CD for ML approvals and automated deployment.
Establishing model governance including lineage auditability explainability data validation and responsible AI controls.
Model Deployment Serving & Monitoring
Designing microservice-based ML inference architectures using EKS/ECS Lambda Step Functions and event-driven patterns.
Implementing advanced model monitoring:
drift detection
data quality checks
outlier detection
performance degradation alerts
CloudWatch / OpenTelemetry observability pipelines
CI/CD for ML (MLOps)
Building automated ML pipelines using CodePipeline Bitbucket Pipelines GitHub Actions Jenkins etc. integrated with container registries and SageMaker.
Defining enterprise patterns for ML environment standardization reproducibility and secure deployment.
Microservice Orchestration & Cloud-Native Engineering
Experience with orchestrating microservices using AWS ECS EKS Fargate Lambda EventBridge App Mesh and Step Functions.
Implementing service mesh patterns for service discovery traffic routing observability and zero-trust communication.
Designing event-driven architectures leveraging Kinesis SNS/SQS and Lambda.
Experience building highly available resilient fault-tolerant cloud architectures.
AWS & Cloud Infrastructure Expertise
Proficiency with RDS PostgreSQL Aurora DynamoDB and other AWS data services.
Experience with AWS VPC design IAM CloudFormation AMIs multi-account strategy and landing zone architecture.
Strong knowledge of AWS services such as ELB ElastiCache CloudWatch CloudTrail S3 Lambda Kinesis App Mesh.
Experience designing cloud logging alerting and observability frameworks.
Expertise in AWS cloud security services and designing secure-by-default architectures.
Experience with Jenkins GitHub Bitbucket and Docker in DevOps workflows.
Soft Skills
Strong written and verbal communication skills.
Ability to create compelling visual concepts and technical diagrams such as sequence diagram context diagram data flow diagram etc
Effective cross-functional collaboration and stakeholder influence skills.
Strong presenter with the ability to simplify complex topics.
Skilled in strategic planning option analysis and roadmap development.

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 or Azure. You s...