Specialist Solution Architect, Database & Analytics
Are you a data and analytics specialist? Do you have deep expertise in AWS services for managing data at speed and scale?
Do you have a unique combination of deep technical knowledge, business acumen and strong interpersonal skills? Amazon Web Services (AWS) is seeking a Specialist Solutions Architect to work with our customers and other AWS teams to craft cloud-based solutions database, analytics, and machine learning.
Amazon is continuously striving to be the most customer-centric company in the world. AWS have been helping over one million customers in over 190 countries, from Airbnb to GE, to deliver flexibility, scalability and reliability across their organizations.
Behind this success is exceptionally talented, bright and driven individuals who work hard, have fun and make history.
In your role, you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon’s utility Database and Analytics services within large strategic accounts.
At AWS, customer obsession is in our DNA. The successful candidate will become a trusted advisor to our customers and will partner with AWS specialist sales, business development, and product teams to craft a go to market strategy, ensure success of our most complex customer engagements, collect, organized and disseminate the internal expertise needed to drive database, analytics, and machine learning workloads.
Represent the voice of the customer and field engagements with specialist sales teams in defined territory.
Produce and validate reference architectures and customer adoption for AWS services including, Aurora, DynamoDB, RDS, Redshift, EMR and Elasticsearch.
Capture best-practice knowledge from engineering and field teams and share reference architectures and patterns amongst the worldwide AWS solution architect community
Collaborate with AWS field teams to build a strong worldwide database and analytics community
5 - 7+ years of experience in the design and implementation of complex IT systems
Implementation and tuning experience in the big data Ecosystem (Amazon EMR, Hadoop, Spark, R, Presto, Hive), database (Oracle, mysql, postgres, Microsoft SQL Server), NoSQL (Amazon DynamoDB, HBase, MongoDB, Cassandra), data warehousing (Amazon Redshift, Teradata, Vertica) or data migration and integration.
Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps.
Presentation skills with a high degree of comfort speaking with CTOs, enterprise architects, IT management, and developers
Strong written communication skills
High level of comfort communicating effectively across internal and external organisations
Demonstrated ability to adapt to new technologies and learn quickly
An advanced degree in computer science, MIS, engineering or related discipline
Hands-on experience with Amazon Web Services
Demonstrated industry leadership in the fields of Database and / or Data Warehousing, Data Sciences and Big Data processing
Deep understanding of data, application, server, and network security
Experience with Statistics, Machine Learning and Predictive Modelling