Are you a data and analytics specialist? Do you have deep expertise in AWS services for managing data at speed and scale? Do you think big about how data can change the world, and want to have an impact on the development and delivery of new data analytics technologies and services? Would you like a career that gives you opportunities to help customers and partners use Cloud computing services to build new solutions, faster, and at lower cost?
At AWS, we’re hiring highly technical cloud computing architects and engineers to collaborate with our customers, partners, field and engineering teams on solutions in database, data management, and analytics. These engagements will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning. In this role, you'll work directly with customers to support the most technically demanding use cases, and distill these reference architectures into best practices, patterns and training for the wider AWS field teams. Through these engagements, you'll represent the voice of the customer within AWS database service engineering teams, which will help shape the roadmap for our services, and you'll be an integral part of building our global database and analytics community.
Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Database & Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
Possess significant experience of software development and/or IT and implementation/consulting experience.
Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
Executive speaking and presentation skills – formal presentations, white boarding, large and small group presentations.
Ability to think strategically about business, product, and technical challenges in an enterprise environment.
Implementation and tuning experience in the Big Data Ecosystem, (EMR, Hadoop, Spark, R, Presto, Hive), Database (Oracle, mysql, postgres, MS SQL Server), NoSQL (DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.