AWS Data Architect

Responsibilities

• Responsible for alignment and understanding of project requirements for data management.
• Responsible for maintenance and extension of the conceptual and logical data models, including the party data model and the corresponding domain models supporting customer activities.
• Responsible for establishing patterns for the integration of data from multiple source systems for consolidated views such as the customer 360.
• Responsible for establishing data flow patterns in alignment with Command Query Responsibility Segregation (CQRS) supporting events, persistence and distribution.
• Responsible for establishing persistence data stores for reliable system interfaces supporting microservices and miniservice capable of high performant data transfers.
• Responsible for refining datasets based on data rationalization framework to iteratively refine and integrate them based on use cases to facilitate the migration of business processes to the event hub.
• Responsible for refining reproducible integration, performance and growth patterns to support continued development of the data hub.
• Responsible for organizing, structuring and storing data in sustainable method that improves usability, data accuracy and definition.
• Responsible for establishing efficient data retrieval mechanisms and facilitation of self-service with reporting, analytics and data science

Bachelor's Degree in Computer Science, Management Information Systems, Business Administration, Mathematics, or equivalent computer-related degree from an accredited United States college or university required. Other qualifications will be provided by the individual management team.

• Infrastructure & Networking
• Automation & CI/CD
• Security & Operations

• Design secure, scalable AWS environments using Multi-Account architectures.
• Configure advanced AWS networking including VPCs, Transit Gateways, and Route
  53.
• Establish secure connectivity via AWS Direct Connect and VPNs.
• Implement strict Network Access Control Lists (NACLs) and Security Groups.
• Migration of on-premises systems to AWS cloud services.
• Perform regular updates and upgrades to AWS resources and services
• Deploy and manage Databricks work spaces across multiple AWS environments.
• Optimize Databricks clusters for performance, scalability, and cost.
• Integrate Databricks with AWS data stores like S3, RDS.
• Implement Unity Catalog for robust data governance and access control.
• Write clean, reusable, and modular infrastructure code using Terraform.
• Manage infrastructure state files securely in remote backends.
• Design and maintain CI/CD pipelines using Jenkins for automated testing.
• Automate the deployment of both AWS resources and Databricks assets.
• Implement IAM roles and policies following the principle of least privilege.
• Monitor system health and performance using AWS Cloud Watch and Prometheus.
• Set up automated alerts for infrastructure anomalies and cost spikes.
• Troubleshoot complex networking, deployment, and data pipeline failures.
• Cloud Platform
  :
  Advanced expertise in Amazon Web Services (AWS).
• Data Tools
  :
  Hands‑on administration of Databricks (Work spaces, Clusters, Unity Catalog).
• Infrastructure as Code
  :
  Expert‑level proficiency with Terraform.
• CI/CD
  :
  Deep experience building and managing Jenkins pipelines.
• Networking
  :
  Strong mastery of TCP/IP, DNS, VPC peering, and routing tables.