Looking for 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 HPC, batch data processing, Big Data and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights.
- Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift.
- Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings.
- Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services.
Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.
- Highly technical and analytical, possessing 5+ years of IT platform implementation experience.
- Deep understanding of database and analytical technologies in the industry including MPP databases, NoSQL storage, Data Warehouse design, BI reporting and Dashboard development.
- Implementation and tuning experience for Apache Hadoop + tools such as Pig and Hive.
- Current hands-on implementation experience required; individual contributors only need apply.
- Strong verbal and written communications skills and ability to lead effectively across organizations.
- BS level technical degree required; Computer Science or Math background preferred.
- Be mobile and travel to client locations as needed. Estimated 50-75% annual travel requirement within your region.
. Hands on experience leading large-scale global data warehousing and analytics projects.
- Demonstrated industry leadership in the fields of database, data warehousing or data sciences.
- Implementation and tuning experience specifically using Amazon Elastic Map Reduce + tools such as Pig and Hive.
- Track record of implementing AWS services in a variety of distributed computing, enterprise environments.