AWS Data Architect Lead

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.

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. At the direction of the Data Architect Lead champions organizational policies, procedures, and accepted data standards including data acquisition, access patterns, retention, movement, and security.

Other duties could include supporting the Data Architect Lead in the buildout of reporting, analytics, and data science practices in the AWS cloud.

Key responsibilities include:

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

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

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.

Scripting:
Proficiency in Python, Bash

Equal Opportunity

Employer:

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.