Ampcus - New York, NY

posted 14 days ago

Full-time - Mid Level
New York, NY
Professional, Scientific, and Technical Services

About the position

The AWS Solutions Architect will be responsible for designing and implementing cloud architecture solutions, focusing on data management within the Enterprise Data Management (EDM) team. This role involves creating scalable, secure, and high-performance data solutions to support core data, reporting, and analytics platforms, while ensuring best practices in security and automation are followed.

Responsibilities

  • Design and develop cloud solutions for Data Lake, Data Lakehouse, Data Warehouse, and Data Mesh architectures.
  • Utilize AWS services such as S3, IAM, KMS, EC2, Glue, Redshift, RDS, Lake Formation, and Lambda to create robust and scalable solutions.
  • Implement industry best practices for data security using AWS IAM in multi-account environments.
  • Leverage automation tools like Terraform, Jenkins, dbt, and GitHub to manage and enhance EDM platforms.
  • Utilize containerization technologies such as Docker, Helm, and Kubernetes where appropriate.
  • Establish and maintain monitoring, logging, alerting, and cost-control procedures to ensure optimal platform performance.
  • Collaborate with Data Architects, Engineers, DBAs, and other stakeholders to understand requirements and build flexible, scalable solutions.
  • Participate in quarterly on-site planning and strategy sessions.
  • Stay current with industry trends in Machine Learning (ML), Artificial Intelligence (AI), and Data Governance.
  • Participate in Level 3 on-call support rotation.
  • Ensure systems are highly available, resilient, and designed to scale efficiently.

Requirements

  • 5+ years of experience as an Enterprise Data Platform Architect in Data Lake, Data Lakehouse, Data Warehouse, or Data Mesh environments.
  • 3+ years as a Cloud Data Platform Engineer or similar roles (e.g., AWS Solutions Architect, Cloud Site Reliability Engineer).
  • 3+ years of experience with AWS services (S3, EC2, Glue, Redshift, RDS) in shared or hybrid environments.
  • Proficiency in AWS tools and serverless technologies, security best practices, and automation tools.
  • Experience with containerization, monitoring, and cost management.
  • Familiarity with SAFe Agile principles.
  • Bachelor's degree in computer engineering, Computer Science, MIS, or a related field preferred but not required.
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