Senior Data Architect, Data Warehouse & MPP at TalentUp Africa

Job Description

• In this role, you’ll work with innovative builders who are pushing the boundaries of cloud technology. You’ll get to be bold, think big, and make an impact on your career. You’ll be encouraged to bring your experiences, talents, and passions to work.
• You will help customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion Tool.
• You will deliver on-site technical engagements with customers. This includes participating in pre-sales on-site visits, understanding customer requirements, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings.
• You will work on short on-site projects to assess and optimize the customer’s Amazon Redshift implementations and help customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.
• You will work with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.

Your Profile
Qualification And Experience

• Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience.
• AWS Solutions Architect Associate or Professional and the AWS Data Analytics or Machine Learning Specialty Certification.
• 8+ years of experience of IT platform implementation in a technical role.
• 8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS).
• 5+ years of hands-on experience in implementation and performance tuning MPP databases (Teradata, Vertica, Netezza, Greenplum).
• Experience with prioritization of projects that mitigate trade-offs.
• Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, etc. or Greenplum etc.
• Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance.