AWS Data Architect Lead

About the role

This consulting position will report to a Data Architect Lead and will be responsible for implementing architecture patterns and designs across systems. They will engage in conceptual and logical data modeling, document database architecture, data integration, metadata and enablement of microservices and miniservice in an event driven architecture.

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.

Qualifications

• Bachelor's Degree in Computer Science, Management Information Systems, Business Administration, Mathematics, or equivalent computer-related degree from an accredited college or university required.

Skills

• Cloud Platform: Advanced expertise in Amazon Web Services (AWS).
• Data Tools: Hands-on administration of Databricks (Workspaces, 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.
• Scripting: Proficiency in Python, Bash.

Pay

• $85 - 90 per hour

Schedule

• 9am to 5pm