Partner Solutions Architect - Big Data and Analytics

Job description

DESCRIPTION

Amazon Web Services (AWS) is looking for an experienced Big Data Solutions Architect who will become the Subject Matter Expert (SME) for designing big data architectures that leverage AWS's cloud technology.

Our customer engagements will focus on Real Time and Batch-based Big Data processing, Business Intelligence, and Machine Learning.

This role will specifically focus on Amazon Web Services for Big Data, including Amazon EMR for Hadoop & Spark, Amazon Elasticsearch Service, Amazon Athena, Amazon Kinesis Suite, and our storage, data warehousing, and business intelligence suite of products. As a Big Data Solutions Architect, you will focus time on helping our customers and partners build innovative Solutions and Businesses that focus on leveraging the value of data.

You would be part of a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations.

The business development and account management teams will help accelerate the adoption of Amazon Web Services as the leading cloud technology platform.

Responsibilities:

As a strategic member of the AWS Partner Solutions Architect team, you will act as a trusted advisor to our partners.

This includes:
· Providing the architectural guidance and recommendations necessary to promote successful engagements with partners across ASEAN countries.
· Assisting ISV partner with the definition of technical strategies that will enable them to sell more of their offering on the AWS platform.
· Capture and share best-practice knowledge with our broader Solution Architect community. Share customer feedback to internal product management and engineering teams to help drive the future of AWS
· Thought Leadership – Craft & develop compelling audience-specific messages and tools (product videos, customer success stories, demos, whitepapers, presentations, how to guides etc.) Present AWS services and technologies through forums such as AWS Blogs, Whitepapers, Reference architectures and Public-Speaking events such as AWS Summit and User-Group events. Capture and share best practices and insights internally and with partners and customers.
· Collaborate with AWS business development, professional services, training and support teams to help partners and customers learn and effectively use AWS services.
· Serve as a key member of the business development and account management team helping to ensure customer success on the AWS platform. Act as a technical liaison between customers, service engineering teams and support. Provide updates on customer progress and ensure plan execution by partners.
· This role covers the ASEAN region and regular travel will be required.

#AWSSINGPORE

PREFERRED QUALIFICATIONS

· Understanding and experience with Machine Learning and AI related technologies.
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing. Experience with Statistics and Machine Learning.
· AWS Certification, eg. AWS Solutions Architect Associate

Desired profile

BASIC QUALIFICATIONS

· Deep understanding of Apache Hadoop and the Hadoop ecosystem. Experience with tools such as Flink, Spark, Sqoop, Kafka, Oozie, Zookeeper, HCatalog and Hive.
· Familiarity with SQL-on-Hadoop technologies such as Hive, Pig, Impala, Spark SQL, and/or Presto.
· Current hands-on implementation experience required, possessing 8 or more years of IT platform implementation experience. Experience with analytic solutions applied to the Marketing or Risk needs of enterprises.
· Proven experience in a consultative technical sales or professional services with a proven track record of success. Ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives.
· Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology
· Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organizations and virtual teams.
· A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.