NEWPosted 2 hours ago

Job ID: JOB_ID_7840

Role Description

We are seeking an experienced Enterprise Data & Cloud Architect to design and implement robust data platforms and cloud solutions. This role involves leading the architecture for data lakes, data warehouses, and real-time streaming platforms, ensuring scalability, security, and performance.

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.

Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree information technology Virginia

Special Requirements

onsite interview

Compensation & Location

Salary: $150,000 – $200,000 per year (Estimated)

Location: Reston, VA

Recruiter / Company – Contact Information

Email: antk@vbeyond.com

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