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AWS Architect

Roles & Responsibilities

  • Extensive experience designing and implementing AWS-based data architectures using services such as AWS Glue, AWS Athena, AWS Sagemaker, AWS Glue Data Brew, AWS DMS, AWS S3 and AWS Lambda, with adherence to AWS Well-Architected Framework and data science components
  • Strong SQL skills; experience with SQL Server preferred
  • Experience integrating enterprise systems and data platforms (e.g., SAP S/4 HANA, Dell Boomi, Denodo, Domo)
  • Ability to participate in technical meetings, provide architecture consultations, and deliver technical guidance and standards for Data Architecture

Requirements:

  • Attend Data and Analytics technical meetings and contribute to architecture decisions
  • Consult on architecture design, data enablement, development, and related activities
  • Support and implement key initiatives involving the listed AWS technologies and data science components, acting as a client-facing extension for ongoing or new projects
  • Provide technical guidance, best practices, and contribute to documented Data Architect Standards

Job description

This is a remote position.

Customer is currently implementing many new data and analytics initiatives. These initiatives
have a requirement to run on an AWS environment, implementing the AWS Well Architected
Framework and the AWS Data Science Blueprint. As part of the effort, LW looks to engage
Supplier to assist with the AWS architecture and AWS Data Science components. This
architecture includes (but not limited to): 

  • AWS Glue
  • AWS Athena
  • AWS Sagemaker
  • AWS Glue Data Brew
  • AWS DMS
  • AWS S3
  • AWS Lambda
  • AWS Well Architected Framework Designs
  • AWS Data Science Components
  • Strong SQL
  • General familiarity with SQL Server would be helpful
  • SAP S/4 HANA
  • Dell Boomi
  • Denodo
  • Domo
Activities:
1. Attend Data and Analytics technical meetings
2. Consult on architecture design, data enablement, development and other related activities

Deliverables:
Support and implement key related initiatives surrounding the above technologies
and projects. In a partnered engagement model, you will serve as an extension to the client to
complete either ongoing initiatives or new identified and perform required project support. In
addition, you will provide technical support and strategic guidance along with best practices
to deliver documented Data Architect Standards.

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