Cloud Architect: Data Analytics

7 hours ago

City of Melbourne, Australia Amazon Full time

Cloud Architect: Data Analytics & GenAI, AWS Professional Services Public Sector

Are you an AWS Data Analytics consultant with GenAI experience? Do you have real-time AWS Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data Engineering experience? Do you have AWS GenAI experience?

Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like working on high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?

AWS Professional Services Public Sector ANZ are hiring a highly technical AWS Delivery Consultant specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects.

Must hold or be able to attain an Australian Government Security Vetting Agency clearance.

Key job responsibilities:

- Collaborate with pre-sales, delivery teams, partners and customer teams to implement Data Analytics and GenAI solutions leveraging services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
- Deliver technical AWS Data Analytics and GenAI engagements with partners and customers. This includes understanding customer requirements and hands on AWS technical delivery.
- Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps.

A day in the life: AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments.

Basic Qualifications:

- Knowledge of a number of the following AWS Data Analytics and GenAI services: AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight, Amazon Bedrock, GenAI.

Preferred Qualifications:

- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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