Cloud Data Analytics Specialist
This role is focused on collaborating with customers and partners to derive business value from the latest data analytics services.
We are seeking a highly technical senior cloud architect specializing in data analytics and GenAI to join our team.
The ideal candidate will have expertise in collaborating with pre-sales and delivery teams to help partners and customers learn and use 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.
The successful candidate will work closely with our customers and partners to develop and deliver proof-of-concept projects, technical workshops, and support complex projects.
This role involves working on customer solutions such as batch, real-time data capture and analysis, driving data-driven decisions and desired customer outcomes.
Key Responsibilities:
1. Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use 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.
2. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
3. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernization of existing data applications and development of new data applications using AWS cloud services.
4. 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.
5. Push the Envelope: Artificial Intelligence is reducing the historical