Are you a Cloud Architect with a specialization in Big Data? Do you have Data Warehousing and/or Hadoop experience? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today?
Would you like a career that gives you opportunities to help customers and partners use cloud computing web services to do big new things faster, at lower cost?
Do you like to work on-site in a variety of business environments, leading teams through high impact projects using the newest technology?
Would you like to gain the deepest customer and partner insights on maximizing the value of cloud computing technologies?
At AWS, we’re hiring highly technical Cloud Architect, Big Data consultants to help our customers migrate to cloud while also help our partners develop technical expertise and capacity. Our consultants will deliver proof-of-concept projects, topical workshops, and lead implementation projects. These professional services engagements will focus on key customer solutions such as, web applications, enterprise applications, HPC, Machine Learning and big data.
· Expertise - Collaborate with AWS field business development, marketing, training and support teams to help customers and partners learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Map Reduce (EMR), Amazon Redshift, , Amazon DynamoDB/RDS databases, AWS SageMaker, AWS Identity and Access Management (IAM), etc.
· Solutions - Define and deliver on-site technical engagements with customers and partners. This includes participating in on-site visits with prospective customers, understanding customer requirements, and proposing and delivering packaged offerings, and delivering custom solution engagements.
· 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.
· Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
Basic Qualifications · 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 · Highly technical and analytical, possessing 7 or more years of IT implementation experience · Deep hands-on experience leading the design, development and deployment of business software at scale · Deep understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development. · Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with tools such as Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, and Avro. · Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto. · Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required · Current hands-on software development experience required; Internet-related business models preferred · Strong verbal and written communications skills and ability to lead effectively across organizations · BS level technical degree required; Computer Science or Math background preferred Fluency in Mandarin and English. Preferred Qualifications · Strong track record of implementing AWS services in a variety of distributed computing environments · Integration of AWS cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP etc. · Proven experience in large scale data warehouse migrations · Machine Learning experience using SageMaker or similar tools. · Masters degree in Computer Science