At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions
such as Machine Learning, IoT, HPC, Batch/Real-time Data processing, MPP systems, Data Analytics and Business Intelligence.
This role will specifically focus on large scale data warehousing and database migration capabilities. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy systems and help them to leverage their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.
- Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, EMR, Elastic Compute Cloud (EC2), S3, Relational Database Service (RDS)/aurora, and Amazon Kinesis.
- Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepaper and creating packaged data service offerings.
- Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.